Jonathan Bragg's starred repositories
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
chain-of-thought-hub
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
open_llama
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
instruction-datasets
All available datasets for Instruction Tuning of Large Language Models
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
LLaMA-Adapter
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
openai-cookbook
Examples and guides for using the OpenAI API
flan-alpaca
This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.