awesome-ChatGPT-repositories
Section: Reimplementations · A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
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Appears in 4 awesome lists
by Andrej Karpathy - A PyTorch re-implementation of GPT, both training and inference. minGPT tries to be small, clean, interpretable and educational, as most of the currently available GPT model implementations can a bit sprawling. GPT is not a complicated model and this implementation is…
Section: Reimplementations · A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Section: GPT开源平替机器人 · karpathy大神发布的一个 OpenAI GPT(生成预训练转换器)训练的最小 PyTorch 实现,代码十分简洁明了,适合用于动手学习 GPT 模型。
Section: Educational · by Andrej Karpathy - A PyTorch re-implementation of GPT, both training and inference. minGPT tries to be small, clean, interpretable and educational, as most of the currently available GPT model implementations can a bit sprawling. GPT is not a complicated model and this implementation is…
Section: Other · A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Open platform for training, serving, and evaluating large language model chatbots. Powers Chatbot Arena (lmarena.ai) serving 10M+ requests for 70+ LLMs. Includes training code for Vicuna, MT-Bench evaluation, and distributed multi-model serving with OpenAI-compatible APIs. Apache 2.0 licensed.
is an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue based on LLaMa.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An easy-to-use deep learning optimization software suite that enables unprecedented scale and speed for Deep Learning Training and Inference
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Code and documentation to train Stanford's Alpaca models, and generate the data.