Popular GitHub Repositories for Chains

使用 Prompts 和 Chains 让 ChatGPT 成为神奇的生产力工具！Unlocking the power of LLMs.

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

EdgeChains.js is Full-Stack GenAI library. Front-end, backend, apis, prompt management, distributed computing. All core prompts & chains are managed declaratively in jsonnet (and not hidden in classes)

LexRank algorithm for text summarization

EVM AI Agent that helps users execute transactions, deploy and verify contracts, check wallet balance, and more - all on EVM compatible chains via friendly, chat-based interaction.

Pre-made chains/templates for chaiNNer. Pytorch, NCNN, and ONNX included.

Chains stable-diffusion-webui instances together to facilitate faster image generation.

`llm-chain` is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks

A companion guide for the blog post series, LangChain Decoded.

GPT-Researcher as a LangChain tool to be used in Agents and Chains

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains

? Open WES is a customizable, open-source Warehouse Execution System designed to streamline warehouse operations. By integrating AI-driven optimization and a microservices architecture, Open WES delivers smarter, scalable, and future-ready solutions for modern supply chains. ? Star to support our work!

Your Platform for Text Mining through Configurable LLM Chains. Ideal for Developers and Semi-Technical Users

Aims for memory-efficient training (24GB VRAM) on consumer GPUs. Optimizing language models through guidance tokens in reasoning chains, based on DeepSeekRL-Extended.

Code for the 2025 ACL publication "Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs"

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

A naive text generator built in JavaScript using Markov chains.

A seinfeld twitter bot using aws lambda functions and markov chains in rust.

Tidy Tunes is an easy-to-use pipeline for mining high-quality audio data for speech generation models. To do so, it chains multiple open source models while minimizing dependencies.