Edan Meyer Courses

Steps to AGI

1 review

Explore DeepMind Alberta's plan for achieving AGI through reinforcement learning, continual learning, and meta-learning in complex environments, with a focus on key steps and core concepts.

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

GPT-4 - What, Why, How?

Explore GPT-4's advancements, capabilities, and potential impacts. Learn about its features, evaluations, multilingual support, and image processing, with demos and insights on access and applications.

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

Sparks of AGI - What to Know

Explore GPT-4's capabilities and limitations in this analysis of Microsoft's "Sparks of AGI" paper, discussing experiments, tool usage, and the potential for artificial general intelligence.

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

This Embodied LLM is...

Explore Google's PaLM-E, an embodied multimodal LLM showing positive transfer across robotics tasks. Learn its workings, applications, results, and implications for AI advancement.

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

Agent Learns to Do Reinforcement Learning

Explore DeepMind's innovative approach to Reinforcement Learning using behavior cloning and Transformers, discussing its potential impact on AI learning algorithms and efficiency.

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

Stable Diffusion - What, Why, How?

Explore Stable Diffusion's text-to-image generation, compare it to DALL-E 2, and learn advanced techniques like custom pipelines, video creation, and image-to-image transformation.

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

This AI Learns from YouTube

Explore OpenAI's innovative approach to training AI agents using YouTube videos, focusing on Minecraft gameplay and combining imitation learning with reinforcement learning techniques.

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

Chinchilla Explained - Compute-Optimal Massive Language Models

Explore DeepMind's Chinchilla, a compute-optimal language model outperforming larger models with fewer parameters. Learn about its development, performance, and implications for AI scaling.

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

Learning Forever, Backprop Is Insufficient

Explores continual learning in machine learning, discussing plasticity decay and proposing Continual Backpropagation as a solution to overcome limitations of traditional backpropagation in non-stationary environments.

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

Learning Fast with No Goals - VISR Explained

Explore rapid generalization in Reinforcement Learning with VISR, focusing on successor features and goal-conditioned policies for efficient task adaptation without rewards.

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

AlphaCode Explained - AI Code Generation

Explore DeepMind's AlphaCode, a powerful AI model for code generation. Learn its workings, competitive programming applications, and key insights from recent research.

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

Reinforcement Learning in RTS Games

Explore reinforcement learning in RTS games, examining recent breakthroughs and key factors driving success in AI models like OpenAI Five and AlphaStar.

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

Can OpenAI Codex Compete in an ML Competition?

Explore OpenAI Codex's capabilities in ML competitions, examining its LSTM approach for a Kaggle challenge and assessing its performance against human competitors.

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

A New Theory for How the Brain Learns

Explore a novel theory on brain learning, focusing on neuronal burst firing for feedback signaling and solving the credit assignment problem in hierarchical circuits.

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

Trillion Parameter Models Are Here

Explore ZeRO-Infinity's breakthrough in training trillion-parameter ML models with limited GPUs, revolutionizing large-scale deep learning and expanding possibilities for AI researchers and practitioners.

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