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A straightforward method for training your LLM, from downloading data to generating text.

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

High-speed Large Language Model Serving for Local Deployment

Running large language models on a single GPU for throughput-oriented scenarios.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

A collection of libraries to optimise AI model performances

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models

The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

An Open-Ended Embodied Agent with Large Language Models

Reverse Engineering: Decompiling Binary Code with Large Language Models

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

Building AI agents, atomically

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

Learn AI and LLMs from scratch using free resources

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Building AI agents, atomically

Chronos: Pretrained Models for Time Series Forecasting

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

Implement a reasoning LLM in PyTorch from scratch, step by step

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

Align Anything: Training All-modality Model with Feedback

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣