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LinkedIn Learning

Introduction to Large Language Models

via LinkedIn Learning

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Overview

Syllabus

Introduction
  • The impact and functionality of large language models
1. Transformers in NLP
  • What are large language models?
  • How are large language models trained? Pre-training
  • Making large language models follow instructions
2. Large Language Model Components
  • Transformer architecture
  • What are parameters
  • What are tokens?
  • What are context lengths?
3. Large Language Models
  • BERT
  • Scaling laws
  • GPT-3
  • Chinchilla
  • PaLM and PaLM 2
  • ChatGPT and GPT-4
  • Open LLMs
  • Comparing large language models
Conclusion
  • Going further with large language models

Taught by

Jonathan Fernandes

Reviews

4.7 rating at LinkedIn Learning based on 839 ratings

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