Discover AI Courses

Multi-Agent Orchestration System Design and Implementation

Dive into OpenAI's multi-agent orchestration system, exploring how routines, tools, and handoffs enable dynamic AI interactions for customer service and sales automation through practical code implementation.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

AGENTiGraph: Integrating LLM-based Multi-Agent Systems with Knowledge Graphs

Explore how AGENTiGraph combines seven specialized AI agents with knowledge graphs to enhance LLM capabilities, focusing on entity mapping, reasoning, and complex query handling.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

AFLOW: Automating Agentic Workflows for Large Language Models

Discover how AFLOW framework optimizes LLM workflows through automated code-based representations, specialized Monte Carlo Tree Search, and reusable operators to enhance AI performance while reducing computational costs.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Google's Dual-Agent AI Architecture: Thinking Fast and Slow

Explore Google's innovative dual-agent AI system that combines fast, intuitive responses with deep, deliberate reasoning for enhanced human-AI interactions and complex problem-solving.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Gödel's Theorem and Self-Learning AI Machines - From Incompleteness to Recursive Agents

Explore the groundbreaking Gödel Agent framework for AI, examining how self-referential systems and recursive self-improvement enable machines to autonomously evolve and optimize their own code and decision-making processes.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

KGARevision: A Knowledge Graph-Based Agent for Medical AI Question Answering

Discover how Harvard's KGARevion agent combines knowledge graphs with LLMs to enhance medical AI reasoning, focusing on complex medical interactions and improved retrieval methods.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Neuro-Symbolic Graph Reasoning and Knowledge Graph Analysis - From Theory to Implementation

Explore neuro-symbolic AI frameworks and graph-based reasoning through practical examples, from biomedical research applications to Python implementations and logical rule learning.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Intelligence at the Edge of Chaos - Understanding Complex Reasoning in Overparameterized LLMs

Explore groundbreaking research on how intelligence emerges in LLMs through complex datasets, focusing on the critical balance between order and chaos in cellular automata-based training.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Robin3D: Improving 3D Large Language Models Through Robust Instruction Tuning

Discover how Robin3D advances spatial intelligence through innovative data generation and architectural improvements for better 3D scene understanding and object relationship comprehension.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Embodied-RAG: Hierarchical Non-parametric Memory Systems for AI Agents

Explore Carnegie Mellon's groundbreaking Embodied-RAG framework that enhances robotic systems with hierarchical memory and advanced spatial navigation capabilities for real-world applications.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Anthropic's Improved Contextual RAG System - Implementation Guide and Performance Analysis

Discover how to implement Anthropic's improved RAG system with contextual retrieval, featuring cBM25, prompt caching, and reranking techniques - applicable across all LLM platforms for enhanced performance.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Multi-Scale Insight Agents for Advanced AI Planning and Decision-Making

Explore how Multi-Scale Insight Agents enhance AI reasoning by generating insights at multiple abstraction levels, improving decision-making without supervised fine-tuning or reinforcement learning.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Chain-of-Thought Limitations and Google's SCoRe Method for Language Models

Discover how Google's SCoRe method revolutionizes language models' self-correction abilities through reinforcement learning, surpassing traditional chain-of-thought approaches in mathematical reasoning and code generation.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

AI Swarm Intelligence: Multi-Agent Ecosystem for Decentralized Autonomous Systems

Explore swarm intelligence and multi-agent reinforcement learning systems, focusing on decentralized control, asynchronous decision-making, and real-world applications in urban environments and drone networks.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

AI-Driven Drug Repurposing: Multi-Agent Approach in Bioinformatics

Explore how three AI agents work together to revolutionize drug discovery through molecular binding prediction, knowledge graph analysis, and scientific literature mining for faster medical breakthroughs.

• YouTube
• 23 minutes
• Self-Paced
• Free Video