Bridging Knowledge Gaps and Podcast Changes

What exactly is an LLM doing and why do you need to learn so many new terms? Steve Pousty is here to explain that most of those new terms are things you already know. It’s not new technology, it’s new words to describe technologies applied in a new field. We have a wild, ADHD roller coaster looping through embeddings, vectors, RAG, and LLMs. Make sure to keep your hands and arms inside the pod for this one.

Chapters
(0:00) Intro
(9:00) Embeddings
(19:00) Graph DB vs Vector DB
(21:00) Vector Algebra
(36:00) Open Source
(41:00) Vector databases
(51:00) What is RAG?
(58:00) What is an LLM doing?
(1:08:00) Dating advice

Links
• 🦋Steve on Bluesky https://bsky.app/profile/thesteve0.bsky.social
• ▶️ Steve on YouTube https://www.youtube.com/@thesteve0
• 📍Voxel 51 https://voxel51.com/
• 🎮 Vector algebra game https://neal.fun/infinite-craft/
• 📘The Alignment Problem https://www.amazon.com/Alignment-Problem-Machine-Learning-Values/dp/0393635821
• 🎥 Mitchells vs The Machines https://www.netflix.com/title/81399614
• 📀 MNIST dataset https://en.wikipedia.org/wiki/MNIST_database
• 📝 What ChatGPT is not https://blog.techravenconsulting.com/what-chatgpt-is-not/
• 📝 Why I am excited about ChatGPT https://blog.techravenconsulting.com/why-i-am-excited-about-chatgpt/