Data Science & Machine Learning 101
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| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 214 | Founded | 4 years ago | Last Issue | a month ago |
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Defensive Prompt Engineering
Once an AI application is public, it is no longer interacting only with well-behaved users. It is interacting with curious users, careless users, malicious users, hostile webpages, poisoned emails, weird documents, and tool outputs you did...
Best practices for prompt engineering
How to write prompts that are clearer, covering concepts like zero-shot, decomposition, etc...
Prompt engineering is the fastest way to improve an AI application.
AI as a Judge
One of the weirdest ideas in modern AI is this: “You can use AI to evaluate AI”
At a first glance, that sounds bizarro, maybe even a little stupid. If the model is already unreliable sometimes, why would you trust another model to grade it...
Perplexity is not your KPI
Perplexity going down usually feels like you are making progress…and during pretraining, it usually is.
But there’s a hidden gotcha here, you can make a model better for users (more helpful, more instruction-following, more “safe”), and wa...
Why LLMs change their mind
If your AI program sometimes gives two different answers to the exact same prompt, it’s actually not “buggy.”
It’s actually doing what it was built to do: sample from a probability distribution.
That single design choice is the root cause...
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Writes about Data Science/AI/ML
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