Testing framework for LLM Part

large prompts will prove to be an anti-pattern. They go against the common wisdom in software engineering.

Write small, testable, functions.

Imagine a world where LLMs are used for small, incremental steps.

That’s how engineering works. It’s taking a large problem and breaking it down into smaller problems.

This is how you test, validate and evaluate ... See more

Today most algorithms that recommend or suppress content act purely on the basis of inferred popularity. They look at how much time people spend engaging with a piece of content, and boost it to more people if the numbers look good. The content itself is almost purely a black box. Some algorithms try to classify content with tags like “food” or “fu

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Trying to get a better understanding of how prompts work in relation to fine-tunes, and trying to see if any of them are actually reliable enough to be used in a "production" type environment.

My end goals are basically

• A reliable AI assistant that I know is safe, secure and private. Any information about myself, my household or my proprietary ideas

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