Discover AI Courses

Layer Increasing Network Scaling (LiNeS) - Preventing Catastrophic Forgetting in Language Models

Explore LiNeS, a novel post-training layer scaling technique that prevents catastrophic forgetting in large language models while enhancing multi-task performance and model merging capabilities.

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

Understanding Task Vectors in Vision-Language Models - Cross-Modal Representations

Explore how Vision-Language Models create task vectors - internal representations enabling cross-modal performance through text and images, revolutionizing AI's ability to understand and execute diverse tasks.

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

Spectral Analysis of LoRA vs Full Fine-Tuning in Language Models

Delve into the technical comparison between LoRA and full fine-tuning methods for language models, exploring their structural differences, spectral properties, and impact on model performance.

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

DocETL: AI Agents for Complex Document Processing and Data Transformation

Discover how DocETL framework leverages AI agents and LLMs to transform complex document processing, featuring innovative operators and optimization techniques for enhanced data extraction and analysis.

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

Collaborative Multi-Agent LLMs for Mixed-Autonomy Traffic - CoMAL Framework

Explore how CoMAL framework enables autonomous vehicles to collaborate through LLM-powered reasoning, role assignment, and real-time coordination for safer and more efficient mixed-autonomy traffic systems.

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

Task-Optimized Multi-Agent Communication Protocols with G-Designer

Explore the G-Designer framework for optimizing multi-agent AI communication through Graph Neural Networks, focusing on efficiency, scalability, and robust topology design.

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

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