In this episode of A Beginner's Guide to AI, we dive into the concept of Continual Learning—the critical process that allows AI models to learn new information without losing what they already know.

From understanding the problem of catastrophic forgetting to exploring groundbreaking solutions like DeepMind’s Elastic Weight Consolidation, we break down how AI can learn and grow over time, just like humans.

We'll also walk you through a relatable analogy and a real-world case study to make the concept crystal clear.

Tune in to get my thoughts, and don't forget to subscribe to our Newsletter!

Want to get in contact? Write me an email: podcast@argo.berlin

This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there might still be some hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads.

Unlocking AI’s Memory: The Secret to Continual Learning 17:49 Share

A Beginner's Guide to AI

Shownotes Transcript

Unlocking AI’s Memory: The Secret to Continual Learning