Discover AI Courses

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

SciAgents and AI Research Idea Generation - Comparing Stanford and MIT Approaches

Explore groundbreaking research from Stanford and MIT on AI agents' capabilities in scientific discovery, idea generation, and knowledge graph reasoning, with practical Python implementations.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Self-Harmonized Chain of Thought (ECHO) - Understanding Complex Reasoning in Language Models

Explore the innovative ECHO method for enhancing language model reasoning through iterative refinement, clustering, and cross-validation techniques to achieve more accurate and consistent solutions.

• YouTube
• 23 minutes
• On-Demand
• Free Video

AI Strategy Optimization Using Monte Carlo Tree Search - From Theory to Implementation

Explore Monte Carlo Tree Search algorithms and their application in AI decision-making, from basic principles to practical implementations in healthcare and financial forecasting.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Monte Carlo and Bayesian Networks for AI Agent Decision Making

Explore advanced probabilistic frameworks combining Dynamic Bayesian Networks and Monte Carlo methods to enhance AI agent decision-making in complex, high-dimensional environments through practical implementations.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Automated Design of AI Agents Using ADAS Framework

Explore the cutting-edge framework for self-designing AI agents, featuring automated architecture generation, peer evaluation systems, and iterative refinement processes for enhanced problem-solving capabilities.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Understanding AI Agents - From Basic Concepts to Multi-Agent Systems

Explore AI agents from basic concepts to advanced implementations, covering memory systems, planning capabilities, tool usage, and multi-agent configurations with practical Python examples and real-time demonstrations.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Databricks Distributed File System (DBFS) vs Local Files on Spark Cluster Driver Node

Understand the key differences between Databricks File System (DBFS) and local driver node storage, exploring distributed storage capabilities and FUSE mount implementation for cloud data access.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Why JAX - Comparing Speed and Scalability of Machine Learning Frameworks in 2023

Discover how JAX revolutionizes machine learning with 100x GPU acceleration, superior scalability, and cost-effective cloud infrastructure compared to TensorFlow and PyTorch.

• YouTube
• 18 minutes
• On-Demand
• Free Video

The Future of Graph Neural Networks - Beyond Message Passing

Explore advanced concepts in Graph Neural Networks, focusing on topological spaces, dyadic systems, and future developments beyond traditional message passing approaches.

• YouTube
• 14 minutes
• On-Demand
• Free Video

SETFIT Few-Shot Learning for SBERT Text Classification - Part 43

Discover how SETFIT's few-shot learning approach revolutionizes text classification, outperforming GPT-3 while using SBERT Sentence Transformers for efficient processing with limited training data.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Parallel Processing for Stable Diffusion Using TPU - Speed Optimization Guide

Master parallel processing in Stable Diffusion using TPUs and JAX/FLAX libraries to generate AI art 8x faster, achieving remarkable speeds of 8 images in just 4 seconds.

• YouTube
• 17 minutes
• On-Demand
• Free Video

LLM-augmented Autonomous Agents - Achieving Goals with One Prompt Without LangChain

Discover how to orchestrate multiple AI agents using advanced prompt engineering, enabling complex task resolution through collaborative interactions and digital twin simulations - no LangChain required.

• YouTube
• 28 minutes
• On-Demand
• Free Video