L

Large Language Models

https://github.com/Blaizzy/mlx-vlm MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

🔧🔗https://github.com/mem0ai/mem0 Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management.

https://github.com/run-llama/llama_index LlamaIndex is a data framework for your LLM applications

🔧🔗https://github.com/langfuse/langfuse-docs 🪢 Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and

🔧🔗https://github.com/tensorzero/llmgym LLM Gym is a unified environment interface for developing and benchmarking LLM applications that learn from feedback. Think gym for LLM agents.

As the space of benchmar

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

🔧🔗https://github.com/patchy631/ai-engineering-hub In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

🔧🔗https://github.com/zjunlp/EasyEdit [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

🔧🔗https://github.com/NirDiamant/GenAI_Agents

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.

🔧🔗https://github.com/cohere-ai/magikarp

This repository contains the code and extended results for the paper Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models https://arxiv.org/abs/2405.05417

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step 🔧🔗https://github.com/rasbt/LLMs-from-scratch

🔧🔗https://github.com/google/adk-python An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

🔧🔗https://github.com/aurelio-labs/semantic-router

Superfast AI decision making and intelligent processing of multi-modal data.

🔧🔗https://github.com/llmware-ai/llmware

Unified framework for building enterprise RAG pipelines with small, specialized models

🕸️🔗https://llmware-ai.github.io/llmware/

https://github.com/arcee-ai/mergekit Tools for merging pretrained large language models.

https://github.com/lm-sys/FastChat An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Resources

https://github.com/mistralai/mistral-inference Official inference library for Mistral models

mistral.ai/

🔧🔗https://github.com/getzep/zep

Zep | The Memory Foundation For Your AI Stack

🔧🔗https://github.com/decodingml/production-llm-rag-course

Second Brain Semantic AI Engine: Powered by LLMs & RAG

🔧🔗https://github.com/QwenLM/Qwen The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.