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AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning (NeurIPS 2024)
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
awesome papers in LLM interpretability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
vits2 backbone with multilingual-bert
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.
Build your neural network easy and fast, 莫烦Python中文教学
Ongoing research training transformer models at scale
This project implements an LSTM (Long Short-Term Memory) model for predicting the future trends of the NASDAQ 100 index. The model is trained using different combinations of hyperparameters to find…
Home of StarCoder: fine-tuning & inference!
Fine-tuning GPT-2 on articles followed by text generation
Instruct-tune LLaMA on consumer hardware
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
MiniLLM is a minimal system for running modern LLMs on consumer-grade GPUs
Accessible large language models via k-bit quantization for PyTorch.
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Quickly bring up your PyTorch project(a skeleton)
Code and documentation to train Stanford's Alpaca models, and generate the data.
Transformer seq2seq model, program that can build a language translator from parallel corpus
[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations
Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota.
Locating and editing factual associations in GPT (NeurIPS 2022)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.