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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

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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

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