large-language-models

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

🔍 Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.

Running large language models on a single GPU for throughput-oriented scenarios.

🌸 Run 100B+ language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Tensor search for humans.

An unnecessarily tiny implementation of GPT-2 in NumPy.

使用 Prompts 和 Chains 让 ChatGPT 成为神奇的生产力工具！Unlocking the power of LLMs. Facebook (Meta) 的 LLaMA 模型（235GB）- 百度网盘下载

Prompt Engineering | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

⛓️ LangFlow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.

A git prepare-commit-msg hook for authoring commit messages with GPT-3.

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

A curated list of modern Generative Artificial Intelligence projects and services

PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html

Design and Deploy Large Language Model Apps

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

An open collection of implementation tips, tricks and resources for training large language models

SGPT: GPT Sentence Embeddings for Semantic Search

Essential guides and programming tools in my toolbox (with focus on ML Training)

A curated list of reinforcement learning with human feedback resources (continually updated)

🧀 Code and models for the paper "Grounding Language Models to Images for Multimodal Generation".