L

Large Language Models

🔧🔗https://github.com/tensorzero/tensorzero TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation

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

🔧🔗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/run-llama/llama_index LlamaIndex is a data framework for your LLM applications

🔧🔗https://github.com/getzep/zep

Zep | The Memory Foundation For Your AI Stack

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

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

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/mendableai/firecrawl-app-examples 🔥 This repository contains complete application examples, including websites and other projects, developed using Firecrawl.

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

🔧🔗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

🔧🔗https://github.com/google/lmeval

LMEval: Large Model Evaluation Framework

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

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

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

mistral.ai/

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

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

🔧🔗https://github.com/FoundationVision/VAR [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An ultra-simple, user-friendly yet state-of-the-art codebase for autoregressive image generation!

🔧🔗https://github.com/joanrod/star-vector StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision.

🔧🔗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.