Inside the Black Box: Cracking AI and Deep Learning

By Jellypod

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Episodes: 29

Description

How do Large Language Models like ChatGPT work, anyway? (Powered by Jellypod)

Episode Date
Fine Tuning Lora: It's Not What You Think
May 15, 2026
When Fluent Answers Start Sounding True
May 02, 2026
Why Your Brain Believes the Model
Apr 27, 2026
When Polished Answers Feel Finished
Apr 20, 2026
What Seneca Teaches Us that Marcus Couldn't
Apr 12, 2026
The Pattern Holds for Another Author
Apr 04, 2026
The Pattern Holds
Mar 30, 2026
Cracking Open the Black Box
Mar 22, 2026
Inside a Fine-Tuned Language Model
Mar 12, 2026
What Counts as Structure? From Harris and Elman to Today’s Neural Nets
Mar 06, 2026
Building a House Without Blueprints: When Interpretability Tools Work — and When They Don’t
Feb 27, 2026
I Told My LLM Not to Say "Empower"
Feb 19, 2026
Beyond the Surface of AI Intelligence
Feb 09, 2026
Unlocking BERTs Hidden Grammar
Feb 03, 2026
Cracking the Code of AI Interpretation
Jan 28, 2026
Decoding GPTs Hidden Circuits
Jan 26, 2026
Decoding Attention and Emergence in AI
Jan 14, 2026
When Knowledge Battles Noise in GPT Models
Jan 07, 2026
Inside Circuits: How Large Language Models Understand
Jan 01, 2026
Hallucinations, Interpretability, and the Seahorse Mirage
Dec 29, 2025
How Transformers Stack Meaning Like Finnish Words
Dec 19, 2025
The Mandela Effect in AI: Why Language Models Misremember
Dec 14, 2025
Bridging Circuits and Concepts in Large Language Models
Dec 05, 2025
How Transformers Turn Words Into Meaning
Nov 28, 2025
Can Smaller Language Models Be Smarter?
Nov 19, 2025
The Weird Geometry That Makes AI Think
Nov 13, 2025
Can We Fix It?
Nov 05, 2025
Using Symbolic AI to Explain LLMs
Nov 02, 2025
Peering Inside the Black Box
Nov 02, 2025