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한국인을 위한 스킬 모음집 - SRT, KTX, 카카오톡, 한글과컴퓨터, 날씨, 미세먼지, 법령, 주식정보, 조선왕조실록, KBO, K-리그, LCK, 특허 검색, 토스 증권, 맞춤법 검사, 중고차 가격, 쿠팡, 네이버 블로그, 다이소, 올리브영, 택배 송장 조회 등등...
AI agents running research on single-GPU nanochat training automatically
The official Python SDK for Model Context Protocol servers and clients
🚀 The fast, Pythonic way to build MCP servers and clients.
Breakthrough Method for Agile Ai Driven Development
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
18 Lessons to Get Started Building AI Agents
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
Production-Grade Container Scheduling and Management
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
An autonomous agent that conducts deep research on any data using any LLM providers
Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas
🔥Highlighting the top ML papers every week.
Official inference framework for 1-bit LLMs
LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
Unsloth is a local UI for training and running Gemma 4, Qwen3.6, DeepSeek, Kimi, GLM and other models.
A high-throughput and memory-efficient inference and serving engine for LLMs
21 Lessons, Get Started Building with Generative AI
Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image