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Generative AI: Working with Large Language Models

Offered By: LinkedIn Learning

Tags

GPT-3 Courses Transfer Learning Courses Transformers Courses Self-Attention Courses

Course Description

Overview

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Explore a user-friendly approach to working with transformers and large language models for natural language processing.

Syllabus

Introduction
  • Learning about Large Language Models
1. Transformers in NLP
  • What are large language models?
  • Transformers in production
  • Transformers: History
2. Training Transformers and Their Architecture
  • Transfer learning
  • Transformer: Architecture overview
  • Self-attention
  • Multi-head attention and Feed Forward Network
3. Large Language Models
  • GPT-3
  • GPT-3 use cases
  • Challenges and shortcomings of GPT-3
  • GLaM
  • Megatron-Turing NLG Model
  • Gopher
  • Scaling laws
  • Chinchilla
  • BIG-bench
  • PaLM
  • OPT and BLOOM
Conclusion
  • Going further with Transformers

Taught by

Jonathan Fernandes

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