llms

A clean, single-file PyTorch implementation of Attention Residuals (Kimi Team, MoonshotAI, 2026), integrated with Grouped Query Attention (GQA), SwiGLU feed-forward networks, and Rotary Position Embeddings (RoPE).

A collection of awesome web2 and web3 AI agents and workflows using OpenAI compatible LLMs.

AMG-RAG (Agentic Medical Graph-RAG) is a comprehensive framework that automates the construction and continuous updating of Medical Knowledge Graphs (MKGs), integrates reasoning, and retrieves current external evidence for medical Question Answering (QA).

Using deep research workflow to generate datasets for finetuning LLMs.

TMLR | This survey presents a comprehensive and structured synthesis of memory in LLMs and MLLMs, organizing the literature into a cohesive taxonomy comprising implicit, explicit, and agentic memory paradigms.

Ollama Zig library

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

Run Vision LLMs, TTS and STT APIs. Website and API for https://text-generator.io

DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference architecture for LLM-based applications on Google Cloud Platform with Redis Enterprise as a high-performance data layer.

This repo contains evaluation code for the paper "MileBench: Benchmarking MLLMs in Long Context"

AI-augmented, conversational information retrieval and data exploration

Elixir framework for composing autonomous AI agent workflows.

A simple LLM-Powered chatbot software.

Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration

Fine-tuning Large Language Models (LLMs) for Text Classification Task

A Collection of useful Prompt-Engineering Technics & Resources

Enhance your knowledge in medical research with the help of LLM and RAG.

Synthetic data generation to fuel AI models

Panacea is a framework for building collaborative, intelligent multi agent AI systems. The framework provides a robust infrastructure for creating and managing multiple AI agents, and enables developers and organizations to build, deploy, and optimize AI agents that work well in dynamic, complex environments.