Nicolay Gerold

We ship early

We constantly review the scope of a project and work toward a v0, not a v1.

That means identifying the most crucial part of a functionality , and pushing the smallest pull request possible to make that happen. In fact, a PR should always be optimized for the speed with which we can merge it in.

I think there are certain capabilities that we should be very cautious of, if not just rule out, for the foreseeable future.

Such as?

I guess things like recursive self-improvement. You wouldn’t want to let your little AI go off and update its own code without you having oversight. Maybe that should even be a licensed activity—you know, just like... See more

Comments are helpful sometimes. But sometimes, they are just an indication of bad code.The proper use of comments is to compensate for our failure to express ourself in code [1].Whenever you have to add a comment in your code, ask yourself if it is really required or if you could instead put that into a new function and name the function so that it... See more

1. REST (Representational State Transfer) is the most used style that uses standard methods and HTTP protocols. It's based on principles like statelessness, client-server architecture, and cacheability. It's often used between front-end clients and back-end services.


2. GraphQL is a query language for APIs. Unlike REST, which exposes a fixed set of

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CDO has three primary responsibilities:

• Create, package, distribute, and continually improve the quality and usefulness of data and information assets


• Continually leverage these assets in multiple ways to create and enhance business value


• Measure, record, and track the business value generated by these data and information assets, and report this

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STUMPY

STUMPY is a powerful and scalable Python library that efficiently computes something called the matrix profile, which is just an academic way of saying "for every (green) subsequence within your time series, automatically identify its corresponding nearest-neighbor (grey)":

What's important is that once you've computed your matrix profile... See more

Capture all of your AI product data

Get the full picture of your model's performance. Log inputs and outputs and seamlessly enrich them with metadata and user feedback.

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Analyze model performance

Figure out how your model is really working, and where you can improve. Monitor for errors and discover underperforming cohorts and use cases.

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Impr... See more

LMQL is a programming language for LLMs.Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime.