LLM 模型排行

Open-source, AI-enhanced CAT tool with multi-LLM support, translation memory, glossary management, 'Superlookup' concordance across TMs/glossaries/web resources, voice commands, Okapi sidecar for file extraction, and integration with leading CAT tools.

Code repository dedicated to experimenting and research with tiny reasoning language model

Kai Fusion Build AI Agents & Workflows, Visually

CustomGPT.ai’s RAG API’s Starter Kit, including multi-instance embedded widgets, floating buttons, and standalone application.

A Claude Code skill that scaffolds ready-to-run LangChain Deep Agents and dcode CLI agents into any project.

Analyze your code locally using a GPT LLM.

This Repository contains the real life use cases of GenAI (LLM+RAG) in Finance Domain. I covers many projects use cases with theory and projects.

Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).

📔 对Chinese-LLaMA-Alpaca进行使用说明和核心代码注解

This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)

Curated index of 200+ AI tools, one writeup per tool with hands-on takes. Covers coding, design, research, video, voice, agents, music, local LLMs. Compare alternatives, see real pricing, find the right tool for the job.

Claude Code best practices applied to application design. Interactive HLD/LLD visualizations, a DB-governed implementation example, and the same primitives as a runnable agent: the Governed Agent. LLM-agnostic, DB-governed, GDPR-ready.

Six Claude Code skills that harden Opus 4.8 toward frontier behavior — written by Fable 5, pressure-tested on the target model with transcripts included.

Build the system that prompts your agents. A teaching repo for loop engineering: chapters, an annotated reading list, copy-paste prompts, a runnable example, and a portable agent skill

A Claude Code plugin whose workshop of expert agents learns as it builds: repeated fixes become permanent rules, loved tweaks become taste it remembers - and every change waits behind a write gate you control.

npm like package ecosystem for Prompts 🤖

Free AI/ML course with 950+ Jupyter notebooks — Python, deep learning, LLMs, RAG, agents, prompt engineering, fine-tuning, MLOps

⚡ Control Apache Airflow with natural language via MCP. Chat with your workflows using Claude, GPT, or any LLM — no REST API calls needed. Supports Airflow 2.x (43 tools) & 3.0+ (45+ tools).

Unlock the power of LangGraph v0.5.3 with 20 bite‑sized, beginner‑friendly agent projects—from chatbots and finance bots to multi-agent orchestrations. Developed by HERE AND NOW AI, this hands‑on tutorial delivers up‑to‑date Python code, practical business value, and scalable workflows built for today and beyond.

인프런의 "LangGraph를 활용한 AI Agent 개발" 강의 소스코드입니다