Discover AI Courses

Why Are These AI Agents Continuously Failing? - Stress Testing and Diagnosing MCP-Enabled Agents

Discover which LLMs fail at multi-turn MCP agent tasks based on Duke University research, exploring stress testing methods and diagnostic insights for AI agent performance.

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

Agentic HyperGraphRAG with Reinforcement Learning - Graph-R1

Discover how Graph-R1 revolutionizes RAG through reinforcement learning agents that navigate knowledge hypergraphs for superior retrieval and complex reasoning beyond traditional methods.

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

RAG 3.0 in RL - Self-Learning AI Agent Reasoning

Discover how reinforcement learning revolutionizes RAG systems through the UR2 framework, unifying retrieval-augmented generation with advanced reasoning capabilities for self-learning AI agents.

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

LLM Fails on MCP Tool Use - Why?

Discover why large language models struggle with Model Context Protocol tool usage through policy optimization and reinforcement learning analysis.

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

LLM World Model - The Secret Mind Inside AI

Discover how AI systems develop internal world models to understand and reason about reality, exploring the hidden cognitive mechanisms behind large language models.

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

NEW Agentic Web - No Apps, No Ad Revenues

Explore how AI agents will disrupt the $600B digital advertising industry by bypassing traditional apps and GUIs, fundamentally changing how we interact with technology.

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

Seed-Prover vs Deep Think - IMO 2025 AI Performance Analysis

Discover how ByteDance's Seed-Prover achieved silver medal performance in IMO 2025, comparing its automated theorem proving methods against Google's gold medal-winning Deep Think AI.

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

Qwen3 2507 Reasoning Model - Causal Reasoning Capabilities Test

Explore the new Qwen3-2507 reasoning model through comprehensive testing of its causal reasoning capabilities and validation processes.

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

Scaling Intelligence - Qwen3 8B vs 14B vs 32B AI Model Performance Comparison

Explore performance differences between Qwen3 AI models (8B, 14B, 32B) through elevator problem-solving tests, comparing reasoning vs non-reasoning approaches and efficiency.

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

From Physics to SwarmAgentic AI - No Code

Discover how autonomous SwarmAgentic systems evolve beyond traditional multi-agent frameworks, using swarm intelligence for self-optimizing AI without coding requirements.

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

AI Just Outsourced Its Own Thinking - Cost-Efficient Serving of LLM Agents via Test-Time Plan Caching

Discover how AI systems reduce costs by 50% through plan caching, outsourcing complex reasoning to reusable templates instead of thinking from scratch every time.

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

The Dark Truth Behind AI Benchmarks

Uncover the hidden flaws in AI benchmarks and learn how Apple researchers reveal optimization tricks that manipulate scores, plus scaling laws for LLM performance.

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

NEW Adaptive Multi-Agent AI System - AIME (ByteDance)

Explore ByteDance's AIME framework for autonomous multi-agent systems with adaptive planning, enhanced communication protocols, and specialized agents for real-world scenarios.

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

Dirichlet Energy Minimization Explains In-Context Learning

Explore groundbreaking Harvard research on how Dirichlet Energy Minimization explains in-context learning in LLMs, optimizing RAG systems and transformer learning without expensive fine-tuning.

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

Better In-Context Learning and RAG System Optimization

Dive into cutting-edge research on optimizing Large Language Models through improved In-Context Learning and RAG systems, without expensive fine-tuning or pre-training procedures.

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