8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning

8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning
Transcript
[SQUEAKING] RAMA RAMAKRISHNAN: OK, so we'll This is going to be a deeper it's potentially the So a quick review. Why do we want transformers? Because we want an architecture that has the same length and we want to take And so just a quick review. If you have a phrase like, or uncontextual embeddings. And then-- sometimes So if you're here, if we em... Read More
Install to Summarize YouTube Videos and Get Transcripts
Explore YouTube Video Summarizer or Get YouTube Transcript Extractor
Read in Other Languages (beta)
Share This Summary 📚
Summarize YouTube Videos and Get Video Transcripts with 1-Click
Download browser extensions on:
Try YouTube Summary with ChatGPT & Claude or YouTube Transcript Generator
Explore More Summaries from MIT OpenCourseWare 📚

6. Electron Shell Model, Quantum Numbers, and PES (Intro to Solid-State Chemistry)
MIT OpenCourseWare

L3.4 Feynman Calculus: Higher-Order Diagrams
MIT OpenCourseWare

16. Side-Channel Attacks
MIT OpenCourseWare

Lecture 1A: Overview and Introduction to Lisp
MIT OpenCourseWare

L21.6 Example: The Distribution of a Busy Period
MIT OpenCourseWare

Solving particle on a circle
MIT OpenCourseWare
Summarize YouTube Videos and Get Video Transcripts with 1-Click
Download browser extensions on:
Try YouTube Summary with ChatGPT & Claude or YouTube Transcript Generator