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A unified evaluation framework for large language models
📖 Paper reading list in conversational AI (constantly updating 🤗).
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
[NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
Instruct-tune Open LLaMA / RedPajama / StableLM models on consumer hardware using QLoRA
QLoRA: Efficient Finetuning of Quantized LLMs
A guidance language for controlling large language models.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Instruction Tuning with GPT-4
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Examples and guides for using the OpenAI API
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🦜🔗 Build context-aware reasoning applications
A LLM based research assistant that allows you to have a conversation with a research paper
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
bloop is a fast code search engine written in Rust.
LlamaIndex is a data framework for your LLM applications
Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHX…
The simplest way to run LLaMA on your local machine
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Code and documentation to train Stanford's Alpaca models, and generate the data.
A collection of libraries to optimise AI model performances