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📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI
Evaluate your LLM's response with Prometheus and GPT4 💯
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & V…
Task-Optimized Adapters for an End-to-End Dialogue System Paper Code
⏰ AI conference deadline countdowns
🥤🧑🏻🚀Code and dataset for our EMNLP 2023 paper - "SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization"
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Awesome LLM compression research papers and tools.
📖 Paper reading list in conversational AI.
FusedChat is a dialogue dataset. It contains dialogue sessions fusing task-oriented dialogues and open-domain dialogues.
This is a repository for our paper (PAED: Zero-Shot Persona Attribute Extraction in Dialogues) accepted in ACL'23.
Scripts of LLM pre-training and fine-tuning (w/wo LoRA, DeepSpeed)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Open Korean NLP Dataset Curation for the Users All Around the Globe
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
An evolving list of electronic media data sets used to model mental-health status.
Source code and demo for memory bank and SiliconFriend
A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks
A Unified Library for Parameter-Efficient and Modular Transfer Learning
OpenChat: Advancing Open-source Language Models with Imperfect Data
Large datasets for conversational AI