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