Video course · 5 chapters · 11 min · certificate
Generative AI and LLMs for Beginners: Foundations for Microsoft Developers
Lesson one of Microsoft's open-source Generative AI for Beginners curriculum: the education startup scenario, how AI evolved into generative AI and transformers, tokenisation and token indices, how LLMs predict the next token with randomness, and prompts versus completions.
What you'll learn
- Describe the course scenario and goals
- Trace AI history from rule-based chatbots to transformers
- Explain tokens, token indices and context windows
- Describe next-token prediction and sampling randomness
- Distinguish prompts and completions
- Recognise common prompt types
Chapters
5 chapters · 10:42-
1:53
01Intro Members
Introduction
Our education startup.
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2:47
02History Members
Generative AI
Decades in the making.
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1:43
03Tokens Members
Tokenisation and token indices
Text to numbers.
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1:35
04Prediction Members
Prediction
One token at a time.
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2:44
05Prompts Members
Prompts and completions
Input and output.
Jobs this course suits
Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.