yukyunglee

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

GPTs

leaked prompts of GPTs

heroicons

A set of free MIT-licensed high-quality SVG icons for UI development.

openai-python

The official Python library for the OpenAI API

udlbook

Understanding Deep Learning - Simon J.D. Prince

alignment-handbook

Robust recipes to align language models with human and AI preferences

Awesome-GPTs

Curated list of awesome GPTs 👍.

Awesome-LLM-Uncertainty-Reliability-Robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

how-engineering-communicates

A community version of the "common API" for how the GitHub Engineering organization communicates

FLASK

[ICLR 2024 Spotlight] FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets

llama2-fine-tune

Scripts for fine-tuning Llama2 via SFT and DPO.

ko-sentence-transformers

한국어 사전학습 모델을 활용한 문장 임베딩

LogADEmpirical

Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)

iterater

Official implementation of the paper "IteraTeR: Understanding Iterative Revision from Human-Written Text" (ACL 2022)

summac

Codebase, data and models for the SummaC paper in TACL

doc-storygen-v2

Codebase for LLM story generation; updated version of https//github.com/yangkevin2/doc-story-generation

ROSE

KUDataMultitasklearning

Clust

rlhf_korean_dataset

For the rlhf learning environment of Koreans

KUDataTransferlearning

log-analytics-chatgpt

Log Parsing: How Far Can ChatGPT Go? (ASE 2023 - NIER Track)

who_what_benchmark

LLM-T2T

Data and code for EMNLP 2023 industry-track paper "Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios"

cobbler

Code and data for ACL ARR 2024 paper "Benchmarking Cognitive Biases in Large Language Models as Evaluators"

RAPID

RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information

MetricEval

MetricEval: A framework that conceptualizes and operationalizes four main components of metric evaluation, in terms of reliability and validity

diversity-extraction-from-llms

code and data for Hayati et al's paper on "How Far Can We Extract Diverse Perspectives from Large Language Models? Criteria-Based Diversity Prompting!"

responsibleAI

CBPrompt

This repository contains the datasets, code, and scripts to conduct the analysis in paper Mind the Biases: Quantifying Cognitive Biases in Language Model Prompting