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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.

How to Evaluate Large Language Model Outputs: Current Practices FinetuneDB provides machine-learning models, research, training resources, or…

Hugging Face provides machine-learning models, research, training resources, or evaluation tools.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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.

LiteLLM provides machine-learning models, research, training resources, or evaluation tools.