ruocwang

ruocwang's Stars

• Significant-Gravitas/AutoGPT

  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.

  Language:Python170k1.5k3.1k44.7k

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX51.9k5702075k

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook37k4011114.7k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.8k2.6k01.7k

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.5k2184692.9k

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook15.8k2033982.3k

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.6k18717741

• promptslab/Awesome-Prompt-Engineering

  This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

  Language:Python4k731378

• Eladlev/AutoPrompt

  A framework for prompt tuning using Intent-based Prompt Calibration

  Language:Python2.3k1241199

• thunlp/TAADpapers

  Must-read Papers on Textual Adversarial Attack and Defense

  Language:Python1.5k5413195

• MLGroupJLU/LLM-eval-survey

  The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

  1.5k141791

• toshas/torch-fidelity

  High-fidelity performance metrics for generative models in PyTorch

  Language:Python1k73770

• SalesforceAIResearch/uni2ts

  Unified Training of Universal Time Series Forecasting Transformers

  Language:Jupyter Notebook970982111

• andyzoujm/representation-engineering

  Representation Engineering: A Top-Down Approach to AI Transparency

  Language:Jupyter Notebook759284788

• suzgunmirac/BIG-Bench-Hard

  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

  4463929

• weixi-feng/Structured-Diffusion-Guidance

  Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

  Language:Jupyter Notebook31171420

• jxzhangjhu/Awesome-LLM-Prompt-Optimization

  Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models

  2578110

• AGI-Edgerunners/LLM-Optimizers-Papers

  Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.

  2286220

• wenhuchen/Program-of-Thoughts

  Data and Code for Program of Thoughts (TMLR 2023)

  Language:Python2146921

• Lichang-Chen/InstructZero

  Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts!

  Language:Python1858914

• xiangning-chen/DrNAS

  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"

  Language:Python4441016

• Mavenoid/prompt-hyperopt

  Improve prompts for e.g. GPT3 and GPT-J using templates and hyperparameter optimization.

  Language:Python411013

• ruocwang/dpo-diffusion

  [ICML 2024] On Discrete Prompt Optimization for Diffusion Models - Google

  Language:Python40732

• measure-infinity/mulan-code

  Language:Python39120

• xirui-li/DrAttack

  Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

  Language:JavaScript39269

• mayank31398/pseudo-code-instructions

  Pseudo-code Instructions dataset

  Language:Python27104

• ruocwang/mixture-of-prompts

  [ICML 2024] One Prompt is Not Enough: Automated Construction of a Mixture-of-Expert Prompts - TurningPoint AI

  Language:Python15311

• ruocwang/llm-symbolic-program

  Official implementation: Large Language Models are Interpretable Learners - Google

  9301

• johnsonkao0213/Formulate_and_Solve

  Official implementation and dataset of the paper [EMNLP'24]: "Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than Two Unknowns?"

  Language:Python2300

• ruocwang/GM-NAS

  Code for our ICLR'2022 paper "Generalizing Few-Shot NAS with Gradient Matching"

  Language:Python1000