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1
Introduction – Intro to Transformers & LLMs
2
Attention is All you Need – History of Transformers
3
Welcome to Transformer City
4
Geographic Map of Transformer City
5
Encoder Tower in Detail
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Encoder & Decoder Towers Working Together
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Decoder Tower in Detail
8
Training our Scientists to forecast model training analogy
9
Outro
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive into the world of artificial intelligence with this comprehensive lecture on Large Language Models (LLMs) and Transformers. Explore the groundbreaking 'Attention is All You Need' research paper and its impact on AI development. Learn about the transformer architecture, a key component in many LLMs powering applications like Chat-GPT. Gain essential context for engaging with LLMs through an intuitive weather analogy, making complex concepts accessible. Discover the transformative power of the transformer architecture and its profound influence on AI advancements. Follow along as the lecture covers topics such as the history of transformers, the structure of "Transformer City," detailed explanations of encoder and decoder towers, and an analogy for model training. Perfect for AI engineers, researchers, and enthusiasts looking to demystify the complexities of transformers and enhance their understanding of cutting-edge AI technologies.

LLMs and Transformers Demystified: Introduction to AI Engineering - Lecture 1

Data Centric
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