Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
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AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".
GPT Mobile is an Android app that can chat with multiple LLMs at once! Currently supports ChatGPT, Anthropic Claude, and Google Gemini.
Creating semantic cache to store responses from LLM queries.
GPU cluster manager for running and managing LLMs.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
A visual and practical guide by Jay Alammar and Maarten Grootendorst.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
Open-Source AI Chatbot / Agent builder with support for LLMs as well as social media channels integration.
LLM evals platform for enterprises, providing tools to develop, evaluate, and observe AI systems.
"building applications with LLMs through composability".
An open-source visual programming environment for battle-testing prompts to LLMs.
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
A project to make it easier to use large external knowledge bases with LLMs.
A python package that integrates an LLM copilot inside the keras model development workflow.
Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.
A lightweight framework for building LLM-based agents.
FastAPI framework to build production-grade LLM applications.
Serverless LLM apps on Production with Jina AI Cloud (Archived).
Discover the large language models examples with insights on business adoption, language model training, and influential models.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.