Dohyun Lee's starred repositories
langchain-tutorials
Overview and tutorial of the LangChain Library
ErrorAnalysis_Prompt
:gift:[ChatGPT4MTevaluation] ErrorAnalysis Prompt for MT Evaluation in ChatGPT
HOLLY-benchmark
This repository contains a dataset for semantically appropriate application of lexical constraints in NMT.
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
helm
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).
lm-evaluation-harness
A framework for few-shot evaluation of language models.
llama-recipes
Scripts for fine-tuning Meta Llama3 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 Llama3 for WhatsApp & Messenger.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
chain-of-hindsight
Chain-of-Hindsight, A Scalable RLHF Method
openai-cookbook
Examples and guides for using the OpenAI API
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
seamless_communication
Foundational Models for State-of-the-Art Speech and Text Translation
knowledge-unlearning
[ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
pytorch-template
PyTorch deep learning projects made easy.
TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
One-sentence_Diffusion_summary
The repo for studying and sharing diffusion models.
CS230-Deep-Learning
Deep Learning by deeplearning.ai | The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.