Coursera Plus Annual is 40% Off — Ends July 6.

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

Write review
Boot.dev Ad

The Most Addictive Python and SQL Courses

Learn More → Scrimba Ad

Free courses from frontend to fullstack and AI

Learn More →

Overview

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
  • GitHub models
  • Accessing Large Language Models using an API
  • Inference time vs. pre-training
Conclusion
  • Going further with Transformers

Taught by

Jonathan Fernandes

Reviews

4.6 rating at LinkedIn Learning based on 2745 ratings

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

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.