From Zero to Cybersecurity Analyst

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Generative AI: Working with Large Language Models

via LinkedIn Learning

Go to class Write review

Overview

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

Reviews

4.7 rating at LinkedIn Learning based on 1798 ratings

Start your review of Generative AI: Working with Large Language Models

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.