Generative AI For Beginners
microsoft
21 Lessons, Get Started Building with Generative AI
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microsoft
21 Lessons, Get Started Building with Generative AI
rasbt
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
microsoft
12 Lessons to Get Started Building AI Agents
pathwaycom
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, Pos…
siyuan-note
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
langfuse
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK,…
NirDiamant
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
shap
A game theoretic approach to explain the output of any machine learning model.
AccumulateMore
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
NirDiamant
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
alirezadir
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
DataTalksClub
Learn ML engineering for free in 4 months! Register here 👇🏼
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
datawhalechina
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to e…
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.
SEO, content research, growth workflows, social listening, campaign analysis, and publishing helpers.