Barak Turovsky (Exec In Residence): How to Evaluate Generative AI Use Cases

Why search might be a red herring and who will capture the most value in the AI stack

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Dear subscribers,

Today, I want to share a great framework for evaluating generative AI use cases.

Barak Turovsky is Executive in Residence at Scale Venture Partners and ex-head of product for Google Languages AI. I worked with Barak a decade ago, so naturally I had to chat with him about AI.

In the interview below, we talk about:

1. How to evaluate generative AI use cases

2. Why search might be a red herring vs. other use cases

3. Which companies will capture the most value in the AI stack

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How to evaluate generative AI use cases

Welcome Barak! What’s your framework for evaluating generative AI use cases?

Barak’s 2x2 framework for evaluating generative AI use cases

I like to evaluate use cases across two axes:

1. Fluency: How natural sounding the output is.

2. Accuracy: How correct the output is.

Here’s the breakdown: