Marvin Alternatives

Empower your product with AI. Our platform offers a vast selection of pre-built models and a user-friendly no-code interface for custom models. Integrate AI seamlessly into your application and gain a competitive edge. Sentiment analysis, also known as opinion mining, is the process of extracting subjective information from text data, such as reviews, social media posts, or customer feedback, and categorizing it as positive, negative, or neutral. This technology has gained increasing importance in recent years, as more and more companies are using it to understand their customers' opinions and needs, and to make data-driven decisions that can improve their products, services, and marketing strategies. Sentiment analysis is a powerful technology that helps companies understand customer feedback and make data-driven decisions to improve their products, services, and marketing strategies.

We're building autonomous systems that write and deploy custom software to perform complex tasks, from just English instruction. Maya translates steps written in English into visual programs that you can edit & extend without writing code. Describe the business logic for your application in English to generate a visual program. Dependencies auto-detected, installed, and deployed in seconds. Use our drag-and-drop editor to extend functionality to 100s of nodes. Build useful tools quickly, to automate all your work. Stitch multiple data sources by just describing how they work together. Pipe data into tables, charts, and graphs generated from natural language descriptions. Build, edit, and deploy dynamic forms to help a human enter & modify data. Copy and paste your natural language program into a note-taking app, or share it with a friend. Write, modify, debug, deploy & use apps programmed in English. Describe the steps you want Maya to generate code for.

Powerful language models a click away. Join over 8,000 developers building the next wave of world-changing applications. Fine-tune and deploy GPT-J, GPT-NeoX, Codegen, and FLAN-T5. Multiple models, each with different capabilities and price points. GPT-J is the fastest model, while GPT-NeoX is the most powerful—and more are on the way. Use these models for classification, entity extraction, code generation, chatbots, content generation, summarization, paraphrasing, sentiment analysis, and much more. These models have been pre-trained on a vast amount of text from the open internet. Fine-tuning improves upon this for specific tasks by training on many more examples than can fit in a prompt, letting you achieve better results on a wide number of tasks.

Explore the power of choosing the right LLM for your needs and how to optimize for quality, speed, and cost-efficiency. Access all LLMs across all providers with a single API key and a standard API. Setup your own cost, latency, and output speed constraints. Define a custom quality metric. Personalize your router for your requirements. Systematically send your queries to the fastest provider, based on the very latest benchmark data for your region of the world, refreshed every 10 minutes. Get started with Unify with our dedicated walkthrough. Discover the features you already have access to and our upcoming roadmap. Just create a Unify account to access all models from all supported providers with a single API key. Our router balances output quality, speed, and cost based on user-specific preferences. The quality is predicted ahead of time using a neural scoring function, which predicts how good each model would be at responding to a given prompt.

From idea to the product at the speed of thought. Create thinking apps with real-world impact. Build functional apps without writing a single line of code. Add sources of truth for accurate results with URLs or drag and drop. Use any input or output, including text, images, video and 3D models. Create ready-to-use interfaces that can be published immediately. Build apps that act in the real world with 4 million functions. Turn your app into a business with one click to generate immediate revenue. Submit your app to Natural OS and start serving millions of user requests. Turn your app into a beautiful morphing interface that finds users instead of the other way around. Imagica is the new operating system for the AI age that enables computers to be an extension of our minds so that we can all create at the speed of thought. With Imagica, our thoughts generate new AIs to supercharge our thinking and co-create with computers in previously unimaginable ways.

Superpowered AI is an end-to-end knowledge retrieval solution purpose-built for LLM applications. We turn complex infrastructure into a few API calls. Give your LLMs access to private information that wasn’t in its training data, like internal company documents. Store old messages in a Knowledge Base and retrieve the most relevant ones each time the user sends a new message. Reduce hallucinations by putting relevant factual information directly in your prompts and instructing the LLM to only use the information it’s been given. Using a knowledge retrieval solution like Superpowered AI lets you retrieve the right information and insert it into your LLM prompts, enabling you to deliver highly relevant responses to your users. Create a knowledge base directly from local files and folders, or from a URL, and query via REST API, all in less than 10 lines of code. State-of-the-art multi-stage knowledge retrieval pipeline to give you the most relevant results.

Unexpected results happen all the time. With full visibility into the entire chain sequence of calls, you can spot the source of errors and surprises in real time with surgical precision. Software engineering relies on unit testing to build performant, production-ready applications. LangSmith provides that same functionality for LLM applications. Spin up test datasets, run your applications over them, and inspect results without having to leave LangSmith. LangSmith enables mission-critical observability with only a few lines of code. LangSmith is designed to help developers harness the power–and wrangle the complexity–of LLMs. We’re not only building tools. We’re establishing best practices you can rely on. Build and deploy LLM applications with confidence. Application-level usage stats. Feedback collection. Filter traces, cost and performance measurement. Dataset curation, compare chain performance, AI-assisted evaluation, and embrace best practices.

Aigur makes it extremely easy to build multi-user generative AI-based applications managing data pipelines, user plans, and security for you. Manage and monitor your users' usage plans, whether it's credit packages, Subscriptions, or unlimited plans, we've got you covered. Grant and regenerate credits, limit usage over time, consume partial credits, and more! Define your backend logic using a visual editor that is backed by code that you can edit. Use our predefined pipelines to cut down development time and focus on your application's logic. Aigur makes it easy to develop your application's front end too. Authenticate users, handle job updates based on web sockets, and cut development time by using Aigur's prebuilt AI-focused component library for both web and mobile. We give you a simple API to manage your users' flows. You don't need to replace your entire infrastructure, just call a few functions and you're done. Check out our opensource library's docs for more info.

Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks. Track, save, and monitor every token your agent sees. Manage and visualize agent spending with up-to-date price monitoring. Fine-tune specialized LLMs up to 25x cheaper on saved completions. Build your next agent with evals, observability, and replays. With just two lines of code, you can free yourself from the chains of the terminal and instead visualize your agents’ behavior in your AgentOps dashboard. After setting up AgentOps, each execution of your program is recorded as a session and the data is automatically recorded for you.

On our platform, you can quickly configure a pipeline, made up of layers (models providing computer vision functionality) that pass the output of one to the next, to create your desired functionality by layering our prebuilt functionality to match your desired behavior. If you have a niche case that our versatile prebuilts don’t encompass, either reach out to us and we will add it for you, or use our custom model creation to create it and add it to the pipeline yourself. Then easily integrate into your app with the ezML libraries implemented in a variety of frameworks/languages that support the most basic cases as well as realtime streaming with TCP, WebRTC, and RTMP. Deployments auto-scale to meet your product's demand, ensuring uninterrupted functionality no matter how big your user base grows.

Whether you're building an AI copilot, or chatbot, or enhancing your existing application with LLMs, Graphlit makes it simple. Built on a serverless, cloud-native platform, Graphlit automates complex data workflows, including data ingestion, knowledge extraction, LLM conversations, semantic search, alerting, and webhook integrations. Using Graphlit's workflow-as-code approach, you can programmatically define each step in the content workflow. From data ingestion through metadata indexing and data preparation; from data sanitization through entity extraction and data enrichment. And finally through integration with your applications with event-based webhooks and API integrations.

Build, deploy, and scale end-to-end AI applications in the cloud. Griptape gives developers everything they need to build, deploy, and scale retrieval-driven AI-powered applications, from the development framework to the execution runtime. 🎢 Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. ☁️ Griptape Cloud is a one-stop shop to hosting your AI structures, whether they are built with Griptape, another framework, or call directly to the LLMs themselves. Simply point to your GitHub repository to get started. 🔥 Run your hosted code by hitting a basic API layer from wherever you need, offloading the expensive tasks of AI development to the cloud. 📈 Automatically scale workloads to fit your needs.

Discuro is the all-in-one platform for developers looking to easily build, test & consume complex AI workflows. Define your workflow in our easy-to-use UI, and when you're ready to execute, simply make one API call to us, with your inputs, any meta-data, and we'll do the rest. Use an Orchestrator to feed generated data back into GPT-3. Reliably integrate with OpenAI and extract the data you need with ease. Create & consume your own flows in minutes. We've built everything you need to integrate with OpenAI, at scale, so you can focus on the product. The first challenge in integrating with OpenAI is extracting the data you need, we'll handle this for you by collecting input/output definitions. Easily chain completions together to build large data sets. Use our iterative input feature to feed GPT-3 output back in, and have us make consecutive calls to expand your data set, and much more. Easily build & test complex self-transforming AI workflows & datasets.

Lazy AI is a game-changing platform that offers no-code application creation with low skill level requirement and provides users with a great library of pre-configured workflows for common developer tasks. It allows users to jumpstart their application development journey without writing code from scratch but adding functionality with the natural language instead. Lazy AI works not only with frontend, but also with backend apps and deploys them automatically. Lazy AI makes application creation more accessible than ever before. With our customizable app templates you can easily build AI tools, Bots, Dev Tools, Finance and Marketing applications. Users are also allowed to browse by technology: Laravel, Twilio, X (Twitter), YouTube, Selenium, Webflow, Stripe, etc.

You get dozens of daily e-mails, but only some need your immediate attention, so the e-mail classifier below helps you maintain an organized inbox. For customer complaints, we summarize the main issue and notify #customer-support on Slack. Delayed orders go into #customer-relation. After a customer call with your support agent, you want to stay informed on what happened. Instead of listening to the whole call, create a Waveline flow that summarizes the main points. Many people experience writer's block when writing text. Quickly build an internal tool with Waveline that automatically gathers information about the recipient from LinkedIn and a Google search to generate a highly personalized first draft. Parse unstructured data and repackaged it into a structured format. Waveline uses LLMs to extract information from text, images, and more.

It streamlines development and deployment, reduces cloud costs, and frees users from vendor lock-in. Configure the hardware resources, such as GPU, and memory, and specify your preference for using spot instances. dstack automatically provisions cloud resources, fetches your code, and forwards ports for secure access. Access the cloud dev environment conveniently using your local desktop IDE. Configure the hardware resources you need (GPU, memory, etc.) and indicate whether you want to use spot or on-demand instances. dstack will automatically provision cloud resources and forward ports for secure and convenient access. Pre-train and finetune your own state-of-the-art models easily and cost-effectively in any cloud. Have cloud resources automatically provisioned based on your configuration? Access your data and store output artifacts using declarative configuration or the Python SDK.

Teams use Voiceflow to design, test, and ship conversational assistants, together, faster, at scale. Create chat and voice interfaces for any digital product or conversational assistant. Bring together conversation design, development, product, copywriting, legal, and more. Design, prototype, test, iterate, launch, and measure, all with one platform. Eliminate functional silos and content chaos. With Voiceflow, teams work together in an interactive workspace that consolidates all assistant data, conversation flows, intents, utterances, response content, API calls, and more. Avoid delays and big dev efforts with 1-click prototyping. In minutes, designers can create shareable, high-fidelity prototypes to test and refine the user experience. Voiceflow is the go-to tool for increasing the speed and scale of app delivery. Accelerate your workflow with timesavers like drag-and-drop design, rapid prototyping, real-time feedback, and pre-built code.

Emly Labs is an AI framework designed to make AI accessible for users at all technical levels through a user-friendly platform. It offers AI project management with tools for guided workflows and automation for faster execution. The platform encourages team collaboration and innovation, provides no-code data preparation, and integrates external data for robust AI models. Emly AutoML automates data processing and model evaluation, reducing human input. It prioritizes transparency, with explainable AI features and robust auditing for compliance. Security measures include data isolation, role-based access, and secure integrations. Additionally, Emly's cost-effective infrastructure allows on-demand resource provisioning and policy management, enhancing experimentation and innovation while reducing costs and risks.

Ship AI faster with managed, cloud-hosted AI packages. Full, built-in support for GPT-4. No API tokens are necessary. Build with our low code framework. Integrations with all major models are built-in. Deploy for an instant API. Scale and share without managing infrastructure. Turn prompts, prompt chains, and basic Python into a managed API. Turn a clever prompt into a published API you can share. Add logic and routing smarts with Python. Steamship connects to your favorite models and services so that you don't have to learn a new API for every provider. Steamship persists in model output in a standardized format. Consolidate training, inference, vector search, and endpoint hosting. Import, transcribe, or generate text. Run all the models you want on it. Query across the results with ShipQL. Packages are full-stack, cloud-hosted AI apps. Each instance you create provides an API and private data workspace.

Train and deploy GPT models for any use case with the first no-code AI platform for businesses. Our prompt experts are here to help you. If you're looking to fine-tune open source models with your own data, our cost-effective tools are specifically designed for the same. Securely deploy your own open source model across multiple clouds without the need to rely on third-party vendors for your valuable data. Our team of experts will deliver the perfect app tailored to your specific requirements. Our tool enables you to effortlessly monitor your usage and reduce costs. Partner with us and let our expert team address your pain points effectively. Efficiently classify your customer calls and automate your company’s customer service with ease. Our advanced solution empowers you to streamline customer interactions and enhance service delivery. Build a robust system that detects fraud and anomalies in your data based on previously flagged data points.

Use the Pubmed API to get a list of scholarly articles on a given topic. Download a YouTube video from a URL to a given file on your filesystem (relative to the current path), logging progress, and return the file's path. Use the Alpha Vantage API to return the latest stock information based on the provided ticker. Suggest code improvements for one or more code files that are passed in. Returns the path of the current directory, and a tree structure of the descendant files. Retrieves the contents of a given file on the filesystem.

Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, and HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Deploy all your AI models to automatically compute outputs (inference) in your datastore in a single environment with simple Python commands.

Anon offers two powerful ways to integrate your applications with services that lack APIs, enabling you to build innovative solutions and automate workflows like never before. The API packages pre-built automation on popular services that don’t offer APIs and are the simplest way to use Anon. The toolkit to build user-permissions integrations for sites without APIs. Using Anon, developers can enable agents to authenticate and take actions on behalf of users across the most popular sites on the internet. Programmatically interact with the most popular messaging services. The runtime SDK is an authentication toolkit that lets AI agent developers build their own integrations on popular services that don’t offer APIs. Anon simplifies the work of building and maintaining user-permission integrations across platforms, languages, auth types, and services. We build the annoying infra so you can build amazing apps.

The Intel Distribution of OpenVINO toolkit makes it simple to adopt and maintain your code. Open Model Zoo provides optimized, pretrained models and Model Optimizer API parameters make it easier to convert your model and prepare it for inferencing. The runtime (inference engine) allows you to tune for performance by compiling the optimized network and managing inference operations on specific devices. It also auto-optimizes through device discovery, load balancing, and inferencing parallelism across CPU, GPU, and more. Deploy your same application across combinations of host processors and accelerators (CPUs, GPUs, VPUs) and environments (on-premise, on-device, in the browser, or in the cloud).

Monitor your LLMs in production, and discover and fix hallucinations, accuracy, and quality-related errors with LLM outputs seamlessly. Evaluate your outputs for hallucinations, misinformation, quality issues, and other bad outputs. Configurable for any LLM use case. Segment your data to analyze your cost, accuracy, response times, model usage, and feedback in depth. Search, sort, and filter through your inference calls, and trace through your queries, retrievals, prompts, responses, and feedback metrics to debug generations. Explore your conversations, understand what your users are talking about and how they feel, and learn which conversations ended badly. Compare your performance metrics across different models and prompts. Our insights will help you find the best-performing model for every use case. Our evaluators use your data, configurations, and feedback to get better and analyze the outputs better.

No one wants their AI to respond with out-of-date information to a customer. ‍Neum AI helps companies have accurate and up-to-date context in their AI applications. Use built-in connectors for data sources like Amazon S3 and Azure Blob Storage, vector stores like Pinecone and Weaviate to set up your data pipelines in minutes. Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models like OpenAI and Replicate, and serverless functions like Azure Functions and AWS Lambda. Leverage role-based access controls to make sure only the right people can access specific vectors. Bring your own embedding models, vector stores and sources. Ask us about how you can even run Neum AI in your own cloud.

Create your own AI that takes daily, repetitive tasks off your shoulders so your team can reach the next level of productivity. Levity is a no-code platform that allows you to train AI models on images, documents, and text data. You can rebuild manual workflows and connect everything to your existing systems without writing a single line of code. Levity enables you to upload your own labeled data to train custom models that fit your business like a glove. If you want to get started even quicker, it also provides countless templates for frequent use-cases, such as sentiment analysis, customer support or document classification. Got a repetitive task that requires more than rule-based automation that standard RPA tools offer? Try Levity out for free and see within minutes what cognitive automation is capable of.

A new way to automatically train, evaluate and deploy state-of-the-art Machine Learning models. AutoTrain is an automatic way to train and deploy state-of-the-art Machine Learning models, seamlessly integrated with the Hugging Face ecosystem. Your training data stays on our server, and is private to your account. All data transfers are protected with encryption. Available today: text classification, text scoring, entity recognition, summarization, question answering, translation and tabular. CSV, TSV or JSON files, hosted anywhere. We delete your training data after training is done. Hugging Face also hosts an AI content detection tool.

We believe that the most powerful and differentiated applications will not only call out to a language model via an API. There are several main modules that LangChain provides support for. For each module we provide some examples to get started, how-to guides, reference docs, and conceptual guides. Memory is the concept of persisting state between calls of a chain/agent. LangChain provides a standard interface for memory, a collection of memory implementations, and examples of chains/agents that use memory. Language models are often more powerful when combined with your own text data - this module covers best practices for doing exactly that.

Confident AI offers an open-source package called DeepEval that enables engineers to evaluate or "unit test" their LLM applications' outputs. Confident AI is our commercial offering and it allows you to log and share evaluation results within your org, centralize your datasets used for evaluation, debug unsatisfactory evaluation results, and run evaluations in production throughout the lifetime of your LLM application. We offer 10+ default metrics for engineers to plug and use.

Capture production data, evaluate outputs collaboratively, and fine-tune your LLM's performance. Know exactly what goes on in production with an in-depth log overview. Collaborate with product managers, domain experts and engineers to build reliable model outputs. Track AI metrics such as speed, quality scores, and token usage. Copilot automates evaluations and model improvements for your use case. Create, manage, and optimize prompts to achieve precise and relevant interactions between users and AI models. Compare foundation models, and fine-tuned versions to improve prompt performance and save tokens. Collaborate with your team to build a proprietary fine-tuning dataset for your AI models. Build custom fine-tuning datasets to optimize model performance for specific use cases.

Create shareable AI apps using a simple Notion-like editor. No need to write code or hire expensive developers. We handle the hosting, database, and deployment for you. Whether you're an entrepreneur, agency, or marketing team Typeblock gives you the power to build AI tools in under 2 minutes. Write SEO-optimized blog posts and instantly publish them to your CMS. Create a tool to generate highly personalized cold emails for your sales team. Build a tool to write highly converting Facebook ads, LinkedIn posts, or Twitter threads. Build an app that writes landing page copy for your marketing team. Harness the power of AI to build tools that write highly engaging newsletters for and your users.

Apply advanced coding and language models to a variety of use cases. Leverage large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. Apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data. Detect and mitigate harmful use with built-in responsible AI and access enterprise-grade Azure security. Gain access to generative models that have been pretrained with trillions of words. Apply them to new scenarios including language, code, reasoning, inferencing, and comprehension. Customize generative models with labeled data for your specific scenario using a simple REST API. Fine-tune your model's hyperparameters to increase accuracy of outputs. Use the few-shot learning capability to provide the API with examples and achieve more relevant results.

The next-gen low-code solution that combines AI-driven customization with full code access for ultimate flexibility. Customize, style, and launch your SaaS MVP quickly and easily. Build your site effortlessly using our advanced low-code framework, where AI helps generate a fully functional SaaS MVP. Leveraging Next.js and Tailwind, our platform integrates seamlessly with NextAuth, Stripe, and more, ensuring a robust and modern development experience. With full access to the codebase, you have the freedom to customize, scale, and modify your SaaS application to perfectly align with your vision and requirements. With everything you need built in, simply input your information and your MVP is ready to go live, saving you time and effort. Leverage generative AI to automatically write copy, style, and customize every aspect of your SaaS MVP, streamlining the entire development process.

Everything you need to transform your ideas into AI apps in minutes. Anyone can create next-generation AI-powered apps in 10 minutes, from professional developers to business users, using our no-code/low-code platform. Seamlessly integrate APIs like ChatGPT, Dalle-2, and Codex from Open AI, and even use custom ML models. Build custom admin client and CRUD functionalities to effectively manage sales, inventory, contracts, and more. Create dynamic dashboards that transform data into actionable insights and fuel innovation for your business. Easily create a chatbot to improve customer support and create a true omnichannel experience with multiple integrations. An all-in-one cloud platform combines low-code/no-code tools with edge technologies to make your web application scalable, secure, and easy to manage. Transform your software development process with our no-code/low-code platform, perfect for both business users and professional developers alike.

Describe example API requests and responses. Define API endpoint logic in natural language. Test your API endpoints and fine-tune your prompt, response structure, and request structure. Deploy API endpoints with a single click and integrate into your applications. Build and deploy sophisticated application logic without writing any code in less than a minute. No individual LLM accounts required. Just sign up to Backengine and start building. Your endpoints run on our super fast backend architecture, available immediately. All endpoints are secure and protected so only you and your applications can use them. Easily manage your team members so everyone can work on your Backengine endpoints. Augment your Backengine endpoints with persistent data. A complete backend replacement. Use external APIs into your endpoints without doing any integration work yourself.

Aicado is your go-to platform for no-code AI solutions. Select your preferred AI model, customize it to fit your needs, and seamlessly integrate it into your business. We’ve got the AI models to match. Test them out, explore the possibilities, and integrate them into your business, all for free. You can create limitless integrations with Aicado. Every model can be integrable and every integration can have different purposes and can connect with different domains. Easily swap faces in videos with high accuracy. Ideal for creating fun and creative edits. Simply speak or upload a voice recording. Simply type a few words describing the scene or object you have in mind, and the AI will take care of the rest, presenting you with a visual representation. Simply enter the text, and the AI will handle the rest, providing you with an audio version to listen to. You can even turn your blog into a podcast.

Query and compare a large selection of open-source and proprietary models at once. Replace costly APIs with cheap custom AI models. Customize foundational models on your private data to adapt them to your particular use case. Small fine-tuned models can perform on par with GPT-4 and are up to 90% cheaper. Airtrain’s LLM-assisted scoring simplifies model grading using your task descriptions. Serve your custom models from the Airtrain API in the cloud or within your secure infrastructure. Evaluate and compare open-source and proprietary models across your entire dataset with custom properties. Airtrain’s powerful AI evaluators let you score models along arbitrary properties for a fully customized evaluation. Find out what model generates outputs compliant with the JSON schema required by your agents and applications. Your dataset gets scored across models with standalone metrics such as length, compression, coverage.

See how Savvi can quickly and easily solve your business challenges. Increase operational efficiency, and empower your team to succeed. Start with the decision, recommendation or prediction that you want to automate with AI. Easily integrate existing data or run a data cold start with a simple line of code in your app. Savvi handles your AI App end-to-end, define your prediction or decision options, identify business goals and publish. Savvi collects the data, trains the ML model, builds your objective function, deploys the AI App into your product. Savvi will continuously learn to improve to your goals. Savvi can securely collect data from your product and train an ML model in less than a few weeks. Just drop in a snippet of Savvi’s code and go. No need for a data architecture project to get started with AI.

your team can develop AI applications based on models such as GPT-4 and operate them visually. Whether for internal team use or external release, you can deploy your application in as fast as 5 minutes. Using documents/webpages/Notion content as the context for AI, automatically complete text preprocessing, vectorization and segmentation. You don't have to learn embedding techniques anymore, saving you weeks of development time. Dify provides a smooth experience for model access, context embedding, cost control and data annotation. Whether for internal team use or product development, you can easily create AI applications. Starting from a prompt, but transcending the limitations of the prompt. Dify provides rich functionality for many scenarios, all through graphical user interface operations.

Fireworks partners with the world's leading generative AI researchers to serve the best models, at the fastest speeds. Independently benchmarked to have the top speed of all inference providers. Use powerful models curated by Fireworks or our in-house trained multi-modal and function-calling models. Fireworks is the 2nd most used open-source model provider and also generates over 1M images/day. Our OpenAI-compatible API makes it easy to start building with Fireworks. Get dedicated deployments for your models to ensure uptime and speed. Fireworks is proudly compliant with HIPAA and SOC2 and offers secure VPC and VPN connectivity. Meet your needs with data privacy - own your data and your models. Serverless models are hosted by Fireworks, there's no need to configure hardware or deploy models. Fireworks.ai is a lightning-fast inference platform that helps you serve generative AI models.

Distributed training without changing your model code, determined takes care of provisioning machines, networking, data loading, and fault tolerance. Our open source deep learning platform enables you to train models in hours and minutes, not days and weeks. Instead of arduous tasks like manual hyperparameter tuning, re-running faulty jobs, and worrying about hardware resources. Our distributed training implementation outperforms the industry standard, requires no code changes, and is fully integrated with our state-of-the-art training platform. With built-in experiment tracking and visualization, Determined records metrics automatically, makes your ML projects reproducible and allows your team to collaborate more easily. Your researchers will be able to build on the progress of their team and innovate in their domain, instead of fretting over errors and infrastructure.

Select a model from our open source collection, run the container and access the model API in your product. No matter if Image Recognition or Language Processing - all models are pre-trained and packaged in an easy-to-use API. Choose from a large selection of models that is always growing. We curate and fine-tune the best models from HuggingFace and Github. You can either host the model yourself very easily or get your personal endpoint and API-Key with one click. Cargoship is keeping up with the development of the AI space so you don’t have to. With the Cargoship Model Store you get a collection for every ML use case. On the website you can try them out in demos and get detailed guidance from what the model does to how to implement it. Whatever your level of expertise, we will pick you up and give you detailed instructions.

Unremot is a go-to place for anyone aspiring to build an AI product - with 120+ pre-built APIs, you can build and launch AI products 2X faster, at 1/3rd cost. Even, some of the most complicated AI product APIs take less than a few minutes to deploy and launch, with minimal code or even no-code. Choose an AI API that you want to integrate to your product from 120+ APIs we have on Unremot. Provide your API private key to authenticate Unremot to access the API. Use unremot unique URL to connect the product API - the whole process takes only minutes, instead of days and weeks.

Daria’s advanced automated features allow users to quickly and easily build predictive models, significantly cutting back on days and weeks of iterative work associated with the traditional machine learning process. Remove financial and technological barriers to build AI systems from scratch for enterprises. Streamline and expedite workflows by lifting weeks of iterative work through automated machine learning for data experts. Get hands-on experience in machine learning with an intuitive GUI for data science beginners. Daria provides various data transformation functions to conveniently construct multiple feature sets. Daria automatically explores through millions of possible combinations of algorithms, modeling techniques and hyperparameters to select the best predictive model. Predictive models built with Daria can be deployed straight to production with a single line of code via Daria’s RESTful API.

Build & Share Delightful Machine Learning Apps. Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. You can choose from a variety of interface types to interface your function. Gradio can be embedded in Python notebooks or presented as a webpage. A Gradio interface can automatically generate a public link you can share with colleagues that lets them interact with the model on your computer remotely from their own devices. Once you've created an interface, you can permanently host it on Hugging Face. Hugging Face Spaces will host the interface on its servers and provide you with a link you can share.

Fine-tuning happens when you take a dataset and build out a model to use with AI. It isn't always easy to do this without code so we built a solution into RIku which handles everything in a very simple format. Fine-tuning unlocks a whole new level of power for AI and we're excited to help you explore it. Public Share Links are individual landing pages that you can create for any of your prompts. You can design these with your brand in mind in terms of colors and adding a logo and your own welcome text. Share these links with anyone publicly and if they have the password to unlock it, they will be able to make generations. A no-code writing assistant builder on a micro scale for your audience! One of the big headaches we found with projects using multiple large language models is that they all return their outputs slightly differently.

Ragie streamlines data ingestion, chunking, and multimodal indexing of structured and unstructured data. Connect directly to your own data sources, ensuring your data pipeline is always up-to-date. Built-in advanced features like LLM re-ranking, summary index, entity extraction, flexible filtering, and hybrid semantic and keyword search help you deliver state-of-the-art generative AI. Connect directly to popular data sources like Google Drive, Notion, Confluence, and more. Automatic syncing keeps your data up-to-date, ensuring your application delivers accurate and reliable information. With Ragie connectors, getting your data into your AI application has never been simpler. With just a few clicks, you can access your data where it already lives. Automatic syncing keeps your data up-to-date ensuring your application delivers accurate and reliable information. The first step in a RAG pipeline is to ingest the relevant data. Use Ragie’s simple APIs to upload files directly.

Deploy all major ML frameworks such as Pytorch, Onnx, XGBoost etc with 1 line of code. Don't have your own models? Deploy our prebuilt models that have been optimised to run with sub-second latency. Fine-tune smaller models on particular tasks in order to decrease costs and latency while increasing performance. It takes just a few lines of code and don't worry about infrastructure, we got it. Integrate with top ML observability platforms in order to be alerted about feature or prediction drift, compare model versions and resolve issues quickly. Discover the root causes for prediction and feature drift to resolve degraded model performance. Understand which features are contributing most to the performance of your model.

Easily create AI voice assistants to make outbound calls, answer inbound calls, and schedule appointments 24/7 - no coding required! Forget lengthy development cycles and expensive machine learning teams. With Synthflow you can build sophisticated, tailored AI agents without technical skills or coding - just bring your data and ideas. Over a dozen specialized AI agents are ready to use for question answering, document search, process automation, and more. Choose an agent as-is or customize it to suit your needs. Upload data instantly from PDFs, CSVs, PPTs, URLs and more. Your agent gets smarter with every new piece of data. No caps on storage or computing resources. Store unlimited vector data in your dedicated Pinecone environment. Gain full control and transparency over how your agent learns and improves. Give your AI agent superpowers by connecting it to any data source or service.