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[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!

• auto-regressive-model
• diffusion-models
• image-generation
• transformers

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

• ai
• prompt-engineering
• tutorials
• llms

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

• large-language-models

Overview and tutorial of the LangChain Library

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

• chinese
• computer-vision
• multi-modal-learning
• nlp

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

• ai
• artificial-intelligence
• deep-learning
• large-language-models

Neo4j graph construction from unstructured data using LLMs

• data-import
• genai
• graph
• graph-rag

A Bulletproof Way to Generate Structured JSON from Language Models

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

• bayesian-methods
• deep-learning
• machine-learning
• data-science

Jupyter notebooks for the Natural Language Processing with Transformers book

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

• agentic-ai
• ai-agents
• langchain
• langgraph

Data augmentation for NLP

• nlp
• augmentation
• machine-learning
• artificial-intelligence

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

• pytorch
• sentiment-analysis
• tutorial
• rnn

TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence

• embodied-agent
• embodied-ai
• embodied-intelligence
• openvla

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

• automl
• hyperparam
• automated-machine-learning
• machine-learning

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

• agentic-ai
• langmem
• mcp
• openai-api

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

• agentic-ai
• agentic-rag
• agents
• rag

TranslatedSharing AI Infra knowledge & code exercises: PyTorch, vLLM/SGLang, introductions to the slime/vime frameworks⚡️, performance acceleration🚀, large model fundamentals🧠, AI software and hardware🔧, and more

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

• decision-making
• large-language-models
• llm
• prompting

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

• gpu-acceleration
• large-language-models
• llm
• llm-inference

Everything you need to know to build your own RAG application

• agentic-rag
• chatbot
• llm
• machine-learning

Build a modern LLM from scratch. Every line commented. Explained like we are five.

• attention-mechanism
• deep-learning
• educational
• from-scratch

SoTA LLM for converting natural language questions to SQL queries