A list of awesome papers and resources of recommender system on large language model (LLM).

Examples and guides for using the OpenAI API

MTEB: Massive Text Embedding Benchmark

Grok open release

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)

Awesome-LLM: a curated list of Large Language Model

Must-read papers on prompt-based tuning for pre-trained language models.

Domain-Specific Search Solutions using LLMs and KGs.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A series of large language models trained from scratch by developers @01-ai

[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)

Domain Adapted Language Modeling Toolkit - E2E RAG

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

AI Observability & Evaluation

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Generative Agents: Interactive Simulacra of Human Behavior

🦜🔗 Build context-aware reasoning applications 🦜🔗

Inference code for Llama models

QLoRA: Efficient Finetuning of Quantized LLMs

structured outputs for llms

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

Overview and tutorial of the LangChain Library

Mock Interview Simulator with AI-Powered Feedback

Classic papers and resources on recommendation