In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)

Tutorials and exercises are done in the course 'Building RAG Agents with LLM'

LLM-RAG-Agent-Tutorial

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Tutorial on builduing customer chatbot for coffee shop with Agent LLM and RAG

[2025.03.29] An AI bootcamp project with hands‑on tutorials in ML, LLMs, RAG, and AI agents

Hands‑on AI Agent Security Evaluation — Explore and simulate 15 advanced LLM attack techniques (prompt injection, RAG poisoning, multi‑agent compromise, etc.) with interactive Jupyter tutorials. Includes adversarial testing methods, vulnerability analysis, and defense strategies for building secure AI systems.

Welcome to the AI Social Journal – a personal space where I document my journey into the world of Artificial Intelligence, share what I'm learning, and post hands-on tutorials and insights. ✨ Explore topics like Retrieval-Augmented Generation (RAG), LLM integration, agentic workflows, and real-world AI applications.

A curated collection of LLM applications and tutorials covering RAG (Retrieval-Augmented Generation), AI agents, multi-agent teams, voice agents, MCP (Model Context Protocol), and more.

🚀 Learn AI by building real-world projects. Hands-on tutorials covering LLMs, Computer Vision, NLP, RAG, AI Agents, and more. From beginner to advanced.

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A full-stack Generative AI repository covering model integration, retrieval pipelines, custom agent design, prompt engineering, evaluation frameworks, vector stores, and best practices for building reliable AI systems.

GenAI Tutorial, Learn LLMs, Agents, RAG, Memory management and more

Collection of 100+ LLM applications including AI agents, RAG systems, multi-agent frameworks, and advanced LLM tutorials

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Collection of LLM applications, RAG agents, and AI tutorials for learning purposes.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

"Tutorial on building customer chatbot for coffee shop with Agent LLM and RAG"

Curated list of tools, tutorials & repos for building GenAI on Databricks (RAG, Agents, Mosaic AI, LLMs)

📝 Tutorial to get start with Mem0 to add a smart memory to your LLM app (LLM/chatbot/RAG/Agent).

This collection of tutorials demonstrates how to leverage cutting-edge LLMs and agentic AI to build advanced applications, including RAG, Enhanced RAG, agentic workflows, and AI-powered business solutions.

In-depth tutorials on LLMs, RAG, AI Agents, MCP, and real-world AI engineering projects. 93+ production-ready projects.

A collection of tutorials & micro-projects meant as a learning pathway in GenAI (LLMs, RAG, Chains, Agentic AI - tools, memory etc.)

The AI agent implementation was inspired by a practical tutorial that demonstrates a complete AI agent pipeline including LLM usage, vector databases, RAG, and agent logic. The implementation aligns with the required AI agent infrastructure described in the assignment

🔍 Complete LangSmith Tutorial: Master AI Observability & Debugging | Learn to trace, monitor, and evaluate LLM applications with hands-on examples from simple chains to complex RAG pipelines and Agents

**Complete LangChain Tutorials** is a hands-on guide to building LLM-powered applications using LangChain. It covers core concepts like prompts, chains, agents, memory, RAG, and integrations with real-world examples.