Deepchecks
Release high-quality LLM apps quickly without compromising on testing. Never be held back by the complex and subjective nature of LLM interactions. Generative AI produces subjective results. Knowing whether a generated text is good usually requires manual labor by a subject matter expert. If you’re working on an LLM app, you probably know that you can’t release it without addressing countless constraints and edge-cases. Hallucinations, incorrect answers, bias, deviation from policy, harmful content, and more need to be detected, explored, and mitigated before and after your app is live. Deepchecks’ solution enables you to automate the evaluation process, getting “estimated annotations” that you only override when you have to. Used by 1000+ companies, and integrated into 300+ open source projects, the core behind our LLM product is widely tested and robust. Validate machine learning models and data with minimal effort, in both the research and the production phases.
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ZBrain
Import data in any format, including text or images from any source like documents, cloud or APIs and launch a ChatGPT-like interface based on your preferred large language model like GPT-4, FLAN and GPT-NeoX and answer user queries based on the imported data. A comprehensive list of sample questions across various departments in different industries that can be asked to an LLM connected to a company’s private data source through ZBrain. Seamless integration of ZBrain as a prompt-response service into your existing tools and products. Enhance your deployment experience with secure options like ZBrain Cloud or the flexibility to self-host on a private infrastructure. ZBrain Flow empowers you to create business logic without writing any code. The intuitive flow interface allows you to connect multiple large language models, prompt templates, and image and video models with extraction and parsing tools to build powerful and intelligent applications.
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Arches AI
Arches AI provides tools to craft chatbots, train custom models, and generate AI-based media, all tailored to your unique needs. Deploy LLMs, stable diffusion models, and more with ease. An large language model (LLM) agent is a type of artificial intelligence that uses deep learning techniques and large data sets to understand, summarize, generate and predict new content. Arches AI works by turning your documents into what are called 'word embeddings'. These embeddings allow you to search by semantic meaning instead of by the exact language. This is incredibly useful when trying to understand unstructed text information, such as textbooks, documentation, and others. With strict security rules in place, your information is safe from hackers and other bad actors. All documents can be deleted through on the 'Files' page.
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Metal
Metal is your production-ready, fully-managed, ML retrieval platform. Use Metal to find meaning in your unstructured data with embeddings. Metal is a managed service that allows you to build AI products without the hassle of managing infrastructure. Integrations with OpenAI, CLIP, and more. Easily process & chunk your documents. Take advantage of our system in production. Easily plug into the MetalRetriever. Simple /search endpoint for running ANN queries. Get started with a free account. Metal API Keys to use our API & SDKs. With your API Key, you can use authenticate by populating the headers. Learn how to use our Typescript SDK to implement Metal into your application. Although we love TypeScript, you can of course utilize this library in JavaScript. Mechanism to fine-tune your spp programmatically. Indexed vector database of your embeddings. Resources that represent your specific ML use-case.
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