Dannyxiuzq

Step-DPO

Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"

DeepSeek-Math

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

alignment-handbook

Robust recipes to align language models with human and AI preferences

Awesome-LLM-Strawberry

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

spring2024-lectures

googlevoice

注册 Google Voice 号码详细步骤

firecrawl

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

awesome-LLM-resourses

🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

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.

llm-course

ReAct

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

opencompass

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Awesome-Forgetting-in-Deep-Learning

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

Large-Language-Model-Notebooks-Course

Practical course about Large Language Models.

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

hh-rlhf

Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

honest_llama

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

promptfoo

Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

TinyLLaVA_Factory

A Framework of Small-scale Large Multimodal Models

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

Automatic-Circuit-Discovery

length-generalization

Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

self-llm

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程

RLHF

Collection of links, tutorials and best practices of how to collect the data and build end-to-end RLHF system to finetune Generative AI models

llm-course

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

Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

transformer-debugger