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AI Tutorials for Advanceds

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Open Source

Guidance

Open-source project for prompting.

prompting open-source
by Microsoft View
Open Source

LiteLLM

Open-source project for production, api.

production api +1
by BerriAI View
Open Source

DSPy

Open-source project for prompting.

prompting open-source
by Stanford NLP View
Open Source

LM Evaluation Harness

Open-source project for evaluation, papers.

evaluation papers +1
by EleutherAI View
Open Source

OpenAI Evals

Open-source project for evaluation, production.

evaluation open-source +1
by OpenAI View
Open Source

llama.cpp

Open-source project for inference.

inference open-source
by ggerganov View
Open Source

vLLM

Open-source project for production, inference.

production inference +1
by vLLM View
Tutorial

vLLM Documentation

Step-by-step guide for production, inference.

production inference +1
by vLLM View
Tutorial

Building RAG Systems - Complete Guide

Retrieval Augmented Generation: combine vector search with LLMs for enhanced AI responses. Production-ready patterns.

rag vector-search +3
by Pinecone View
Article

MIT AI Research Publications

MIT's AI research covering machine learning, computer vision, NLP, and robotics. World-class research.

research papers +3
by MIT CSAIL View
Article

Stanford AI Lab Research Papers

Latest AI research from Stanford: computer vision, NLP, robotics, and more. Cutting-edge publications.

research papers +3
by Stanford AI Lab View
Article

AI Alignment: Why It's Hard

Deep dive into the AI alignment problem: ensuring AI systems do what we want them to do.

alignment ai-safety +2
by Alignment Forum View
Article

Model Monitoring and Observability

Monitor ML models in production: detect drift, track performance, and maintain model health over time.

mlops production +2
by Evidently AI View
Course

Full Stack Deep Learning

Build and deploy production ML systems. Covers MLOps, testing, infrastructure, and team collaboration.

mlops production +3
by FSDL View
Article

MLOps Principles and Best Practices

Comprehensive guide to MLOps: model deployment, monitoring, CI/CD for ML, and scalable AI systems.

mlops deployment +2
by ML-Ops Community View
Course

Spinning Up in Deep RL by OpenAI

Educational resource for learning deep reinforcement learning. Includes tutorials, papers, and code examples.

reinforcement-learning agents +3
by OpenAI View
Article

Image Segmentation with Deep Learning

Comprehensive guide to image segmentation: U-Net, Mask R-CNN, semantic vs instance segmentation, and applications.

computer-vision image-processing +2
by TensorFlow View
Tutorial

Fine-Tuning Large Language Models

Complete guide to fine-tuning LLMs for specific tasks. Covers techniques, best practices, and cost optimization.

fine-tuning llm +3
by Hugging Face View
Whitepaper

GPT-4 Technical Report

OpenAI's technical report on GPT-4: architecture, capabilities, limitations, and safety considerations.

gpt openai +3
by OpenAI View
Course

Stanford CS224N: NLP with Deep Learning

Graduate-level NLP course covering word vectors, neural networks, attention, transformers, and question answering.

nlp stanford +3
by Stanford University View
Book

Deep Learning Book by Goodfellow

The deep learning textbook. Comprehensive coverage of ML basics, deep networks, optimization, CNNs, RNNs, and more.

deep-learning book +3
by Ian Goodfellow View