YoVDO

In-Context Learning in Deep Learning - How It Works in Large and Small Language Models

Offered By: Yacine Mahdid via YouTube

Tags

Deep Learning Courses Few-shot Learning Courses Gradient Descent Courses Bayesian Inference Courses Transformer Models Courses In-context Learning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the concept of In-Context Learning in deep learning through this 12-minute video. Delve into the definition of In-Context Learning, understand why it's considered surprising, and examine its Bayesian framework. Learn how Large Language Models (LLMs) implement learning algorithms for In-Context Learning. Gain insights from various research papers and resources on this fascinating topic. Follow the comprehensive table of contents to navigate through key sections, including an introduction, detailed explanations, and a conclusion. Engage with the content and join the discussion in the comments for a deeper exploration of In-Context Learning in artificial intelligence.

Syllabus

- Introduction:
- Definition of In-Context Learning:
- Why is In-Context Learning Surprising?:
- Bayesian Framework for In-Context Learning:
- LLMs are Implementing Learning Algorithms for In-Context Learning:
- Conclusion:


Taught by

Yacine Mahdid

Related Courses

Probability - The Science of Uncertainty and Data
Massachusetts Institute of Technology via edX
Bayesian Statistics
Duke University via Coursera
Dealing with materials data : collection, analysis and interpretation
Indian Institute of Technology Bombay via Swayam
Applied Bayesian for Analytics
Indian Institute of Management Bangalore via edX
Bayesian Modeling with RJAGS
DataCamp