Our guest today is Sebastian Raschka, Senior Staff Research Engineer at Lightning AI and bestselling book author.

In our conversation, we first talk about Sebastian's role at Lightning AI and what the platform provides. We also dive into two great open source libraries that they've built to train, finetune, deploy and scale LLMs.: pytorch lightning and litgpt.

In the second part of our conversation, we dig into Sebastian's new book: "Build and LLM from Scratch". We discuss the key steps needed to train LLMs, the differences between GPT-2 and more recent models like Llama 3.1, multimodal LLMs and the future of the field.

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Build a Large Language Model From Scratch Book: https://www.amazon.com/Build-Large-Language-Model-Scratch/dp/1633437167

Blog post on Multimodal LLMs: https://magazine.sebastianraschka.com/p/understanding-multimodal-llms

Lightning AI (with pytorch lightning and litgpt repos): https://github.com/Lightning-AI

Follow Sebastian on LinkedIn: https://www.linkedin.com/in/sebastianraschka/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/

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(00:00) - Intro

(02:27) - How Sebastian got into Data & AI

(06:44) - Regressions and loss functions

(13:32) - Academia to joining LightningAI

(21:14) - Lightning AI VS other cloud providers

(26:14) - Building PyTorch Lightning & LitGPT

(30:48) - Sebastian’s role as Staff Research Engineer

(34:35) - Build an LLM From Scratch

(45:00) - From GPT2 to Llama 3.1

(48:34) - Long Context VS RAG

(56:15) - Multimodal LLMs

(01:03:27) - Career Advice

Build a Large Language Model (from Scratch)

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