Discover AI Courses

Building Adaptive Multi-Agent AI Systems: From Theory to Implementation

Explore adaptive multi-agent AI systems through reinforcement learning, examining how agents navigate dynamic physical and social environments while developing cooperative strategies and decision-making capabilities.

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

AI in Oncology - Transforming Cancer Care Through Multi-Agent Systems and Clinical Research

Explore how advanced AI systems transform oncology care through NLP-driven patient insights and enhanced clinical decision-making, bridging research and practical healthcare delivery.

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

Fine-tuning SmolVLM Vision Language Model with QLoRA on Consumer GPU

Master fine-tuning techniques for SmolVLM vision language model using QLoRA optimization on consumer GPUs, with complete Python implementation and Jupyter notebooks for hands-on practice.

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

A Brief History of AI and AI Agents - From Language Models to Multi-Agent Systems

Explore the evolution of AI from GPT-3 to modern multi-agent systems, covering key developments in language models, function calling, AI agents, and future implications for global artificial intelligence.

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

NVIDIA HYMBA: A Hybrid-Head Architecture for Small Language Models with MetaTokens

Explore NVIDIA's Hymba hybrid architecture combining transformer attention and state-space models, featuring innovative meta tokens and memory optimizations for enhanced language model performance and efficiency.

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

Model Stealing for Low-Rank Language Models Through Reverse Engineering

Discover groundbreaking mathematical techniques for reverse-engineering language models through conditional queries and barycentric spanners, exploring MIT's innovative approach to model extraction.

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

Scattered Forest Search: A New Algorithm for Code Generation with LLMs

Explore the innovative Scattered Forest Search algorithm for optimizing code generation with LLMs, covering implementation techniques, theoretical foundations, and benchmark performance.

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

Q-Learning and Hindsight Regeneration for Interactive AI Agents

Explore groundbreaking Q-Learning techniques for AI agents, featuring Hindsight Regeneration and Q-SFT approaches that enhance conversational AI capabilities through advanced reinforcement learning methods.

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

The CoT Black Box: Beyond our Knowledge - AI Reasoning We Can't Decode

Delve into the mysteries of Chain-of-Thought (CoT) reasoning in AI models like OpenAI o1 and DeepSeek-R1, exploring the current limitations in understanding how these Large Reasoning Models actually work.

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

The AI Reasoning Lie: Debunking Logical Intelligence Emergence in LLMs

Uncover the truth about reasoning in Large Language Models (LLMs), exploring research that challenges assumptions about emergent intelligence in AI systems like o1 and o3.

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

Comparing SONNET 3.7 Extended Thinking 32K and DeepSeek R1 Logic Performance

Explore performance comparisons between CLAUDE SONNET 3.7 Extended Thinking 32K and open-source DeepSeek R1 through advanced logic tests, plus see how test-time-compute scaling models compare to classical AI models.

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

Topology Optimization for Multi-Agent Systems Using DSPy

Dive into advanced multi-agent AI optimization techniques using DSPy and topology-based approaches for enhanced swarm intelligence and prompting strategies.

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

Agentic Reasoning: Reasoning LLMs with Tools for Deep Research

Explore groundbreaking research from Oxford on advanced AI reasoning systems that enhance RAG with agentic capabilities for improved deep research and knowledge processing.

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

AI Computer Use: Vision-Based Reward Models for Reinforcement Learning - ARMAP Framework

Explore advanced reinforcement learning and vision reward models for AI systems, covering autonomous agents, scaling strategies, and theoretical perspectives on process supervision.

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

KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment

Explore how to enrich and update Knowledge Graphs using DeepSeek's multi-agent LLM system for automated integration of scientific literature and new information.

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