bhawnapiryani's Stars
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
lm-sys/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
openai/openai-python
The official Python library for the OpenAI API
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
tloen/alpaca-lora
Instruct-tune LLaMA on consumer hardware
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
confident-ai/deepeval
The LLM Evaluation Framework
run-llama/llama-hub
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
facebookresearch/DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
EgoAlpha/prompt-in-context-learning
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
hymie122/RAG-Survey
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Lionelsy/Conference-Accepted-Paper-List
Some Conferences' accepted paper lists (including AI, ML, Robotic)
georgian-io/LLM-Finetuning-Toolkit
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
rasbt/LLM-workshop-2024
A 4-hour coding workshop to understand how LLMs are implemented and used
gabriben/awesome-generative-information-retrieval
texttron/tevatron
Tevatron - A flexible toolkit for neural retrieval research and development.
facebookresearch/atlas
Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)
wyu97/GenRead
Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.
ACL2023-Retrieval-LM/ACL2023-Retrieval-LM.github.io
https://acl2023-retrieval-lm.github.io/
salesforce/summary-of-a-haystack
Codebase accompanying the Summary of a Haystack paper.
wenhuchen/Time-Sensitive-QA
Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
ehsk/OpenQA-eval
ACL 2023: Evaluating Open-Domain Question Answering in the Era of Large Language Models
abdoelsayed2016/Legal-Question-Answering-Review
abdoelsayed2016/GRG
Official PyTorch implementation of "Generate-Retrieve-Generate: A Novel Approach to Open-Domain Question Answering"
praveenmec67/Research-Papers-Highlights
DataScienceUIBK/HintEval
A Python framework designed for both generating and evaluating hints.
bhawnapiryani/LLM-Finetuning-Hub
Repository that contains LLM fine-tuning and deployment scripts along with our research findings.
ProjectDossier/ESSIR-2023-Legal-Tutorial
Official respository for Legal Tutorial in The 14th European Summer School on Information Retrieval