Toppertube › Programming & Tech
Byte Latent Transformer: Patches Scale Better Than Tokens (Paper Explained)
Yannic Kilcher · Programming & Tech · 36 min · 48 thousand views · published 2024-12-24
#tokenization #llm #meta This paper does away with tokenization and creates an LLM architecture that operates on dynamically sized "patches" deep learning machine learning arxiv explained neural networks ai artificial in
Watch this lesson free on Toppertube, take notes beside the video, and add it to a course to track your progress and earn a certificate.
More from Yannic Kilcher
- I BUILT A FULLY AUTOMATIC MANSPLAINER Yannic Kilcher
- Traditional X-Mas Stream Yannic Kilcher
- TiDAR: Think in Diffusion, Talk in Autoregression (Paper Analysis) Yannic Kilcher
- Titans: Learning to Memorize at Test Time (Paper Analysis) Yannic Kilcher
- [Paper Analysis] The Free Transformer (and some Variational Autoencoder stuff) Yannic Kilcher
- [Video Response] What Cloudflare's code mode misses about MCP and tool calling Yannic Kilcher
- [Paper Analysis] On the Theoretical Limitations of Embedding-Based Retrieval (Warning: Rant) Yannic Kilcher
- AGI is not coming! Yannic Kilcher
More in Programming & Tech
- The Agents Were Fine. Everything Around Them Broke. - Joey Wang, Harvey AI Engineer
- 60% of Our Data PRs Now Merge With No Human Review - Chetas Joshi, Robinhood AI Engineer
- An Agent That Fixes Its Own Mistakes - Saloni Gandhi & Ziwei Guo, LinkedIn AI Engineer
- Stop Chatting With Spreadsheets — Francesco Galletta & Felippe Felisola Caso, Monzo AI Engineer
- Your Self-Hosted LLM Needs to Say No - Harshul Jain & Parv Khatri, Audible & SAP AI Engineer
- OpenAI spent $1.2 million hacking Linux... and it was a bargain Fireship
- How Gemini 4 Argon & Carbon were built (ft. DeepMind’s Head of Gemini Product) Google Cloud Tech
- How Are People Making Games Like This? Traversy Media