Published Nov 11, 2022
SDS 626: Subword Tokenization with Byte-Pair Encoding — with @JonKrohnLearns
Jon Krohn delves into the world of tokenization in natural language processing, spotlighting the innovative subword methods with a deep dive into byte-pair encoding's role in enhancing models like BERT and GPT-3.

Topics covered
Popular Clips
Episode Highlights
Related Episodes

SDS 506: Supervised vs Unsupervised Learning — with Jon Krohn
Answers 383 questions
SDS 446: Getting Started in Machine Learning — with Jon Krohn
Answers 383 questions
SDS 554: @JonKrohnLearns's Deep Learning Courses
Answers 383 questions
SDS 556: @JonKrohnLearns's Machine Learning Courses
Answers 383 questions
SDS 558: @JonKrohnLearns's Answers to Questions on Machine Learning
Answers 383 questions
SDS 620: OpenAI Whisper: General-Purpose Speech Recognition — with @JonKrohnLearns
Answers 383 questions
SDS 476: Peer-Driven Learning — with Jon Krohn
Answers 383 questions
SDS 456: The Pomodoro Technique — with Jon Krohn
Answers 383 questions
SDS 484: Algorithm Aversion — with Jon Krohn
Answers 383 questions
SDS 624: Imagen Video: Incredible Text-to-Video Generation — with @JonKrohnLearns
Answers 383 questions
SDS 510: Deep Reinforcement Learning — with Jon Krohn
Answers 383 questions
SDS 474: The Machine Learning House — with Jon Krohn
Answers 383 questions
SDS 568: PaLM: Google's Breakthrough Natural Language Model — with Jon Krohn
Answers 383 questions
SDS 576: Tech Startup Dramas — with Jon Krohn
Answers 383 questions
SDS 468: The History of Data — with Jon Krohn
Answers 383 questions
