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Generative AI: Working with Large Language Models

via LinkedIn Learning

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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

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