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Understanding Foundation Model - Part 5 (Sampling Strategies)
In the previous part of Understanding Foundation Model, we have covered the following:
Jul 31
•
Nitin Madeshia
2
Understanding Foundation Model - Part 4 (Post Training)
Learn about post training and why does the model not teach you how to make a bomb
Jul 22
•
Nitin Madeshia
2
Understanding Foundation Model - Part 3 (Model Size)
The Power and Limits of Larger AI Models: What You Need to Know
Jul 20
•
Nitin Madeshia
1
Decision under uncertainty and risk
Exploring how behavioral economics like Prospect Theory can shape smarter product decisions and customer experiences.
Jul 17
•
Nitin Madeshia
1
Understanding Foundation Model - Part 2 (Attention is All you need)
A high level overview of how transformer architecture works
Jul 9
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Nitin Madeshia
2
What Does "7 Billion Parameters" Actually Mean in AI?
You’ve probably seen these phrases thrown around in AI conversations:
Jul 7
•
Nitin Madeshia
3
Start with customers
Great decisions are made by product folks who talk to customers.
Jul 6
•
Nitin Madeshia
1
5:18
Understanding Foundation Models - Part 1
Why your Product needs to understand Foundation Models before it uses them
Jul 5
•
Nitin Madeshia
2
The AI Engineering Stack
What Actually Powers an AI Product?
Jul 4
•
Nitin Madeshia
2
Tokens - The "a","b","c" of LLM
Understand the building blocks of large language models
Jul 3
•
Nitin Madeshia
3
From Product Idea to Machine Learning Problem
How to Frame AI Features the Right Way — Without Confusing Your ML Team
Jul 2
•
Nitin Madeshia
2
Designing UX for AI features: A Guide for Product Managers
Why designing for AI is different & how to make AI features feel more trustworthy
Jul 1
•
Nitin Madeshia
3
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