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21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
12 Lessons to Get Started Building AI Agents
12 Weeks, 24 Lessons, AI for All!
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
10 Weeks, 20 Lessons, Data Science for All!
Anthropic's Interactive Prompt Engineering Tutorial
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
A guidance language for controlling large language 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 A…
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
llama3 implementation one matrix multiplication at a time
Understanding Deep Learning - Simon J.D. Prince
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…
Learn python3 in one picture.
Everything you need to know to build your own RAG application
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 Kuberne…
Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.
The Open Source Memory Layer For Autonomous Agents
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Machine Learning Journal for Intermediate to Advanced Topics.
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.