BudgetML

BudgetML

ebhy
+
+

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About

BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production quickly and cheaply. Cloud functions are limited in memory and cost a lot at scale. Kubernetes clusters are overkill for one single model. Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, backend servers, etc., that are simply not within the scope of a typical data scientist. BudgetML is our answer to this challenge. It is supposed to be fast, easy, and developer-friendly. It is by no means meant to be used in a full-fledged production-ready setup. It is simply a means to get a server up and running as fast as possible with the lowest costs possible.

About

Literal AI is a collaborative platform designed to assist engineering and product teams in developing production-grade Large Language Model (LLM) applications. It offers a suite of tools for observability, evaluation, and analytics, enabling efficient tracking, optimization, and integration of prompt versions. Key features include multimodal logging, encompassing vision, audio, and video, prompt management with versioning and AB testing capabilities, and a prompt playground for testing multiple LLM providers and configurations. Literal AI integrates seamlessly with various LLM providers and AI frameworks, such as OpenAI, LangChain, and LlamaIndex, and provides SDKs in Python and TypeScript for easy instrumentation of code. The platform also supports the creation of experiments against datasets, facilitating continuous improvement and preventing regressions in LLM applications.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Any user wanting a tool to deploy ML models on a budget

Audience

Engineering teams interested in a tool to build, monitor, and optimize production-grade LLM applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ebhy
github.com/ebhy/budgetml

Company Information

Literal AI
United States
www.literalai.com

Alternatives

Alternatives

DeepEval

DeepEval

Confident AI

Categories

Categories

Integrations

Docker
Google Cloud Platform
Amazon Web Services (AWS)
ChatGPT
Claude
Gemini 1.5 Pro
Gemini Nano
Gemini Pro
Google AI Plus
GraphQL
LangChain
Mathstral
Ministral 3B
Mistral 7B
Mistral NeMo
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
OAuth
Pixtral Large

Integrations

Docker
Google Cloud Platform
Amazon Web Services (AWS)
ChatGPT
Claude
Gemini 1.5 Pro
Gemini Nano
Gemini Pro
Google AI Plus
GraphQL
LangChain
Mathstral
Ministral 3B
Mistral 7B
Mistral NeMo
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
OAuth
Pixtral Large
Claim BudgetML and update features and information
Claim BudgetML and update features and information
Claim Literal AI and update features and information
Claim Literal AI and update features and information