Скачать или смотреть 📚 Data Sampling with a Sliding Window – Live Coding with Sebastian Raschka (Chapter 2.6)

Check out Sebastian Raschka's book 📖 Build a Large Language Model (From Scratch) | https://hubs.la/Q03l0mSf0 📖

In this hands-on coding session, AI & LLM engineer ‪@SebastianRaschka‬ dives into Chapter 2.6: Data Sampling with a Sliding Window from his book Build a Large Language Model (From Scratch). This chapter introduces a key data preprocessing technique used to prepare long text sequences for training transformer-based LLMs efficiently.

0:00 - Introduction to Data Sampling with Sliding Window
2:24 - Implementing Data Chunks for LLM
6:40 - Setting up PyTorch Environment
10:28 - Getting up to speed with PyTorch
11:59 - Data Sampling Techniques with Sliding Windows
18:42 - Data Sampling in Action

📘 About the Book
Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you’ll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you’ll really understand it because you built it yourself!

👨‍💻 Ideal for ML developers, data scientists, and NLP researchers eager to understand the mechanics behind modern language models.

🔗 Get the Book: https://hubs.la/Q03l0mSf0

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