Viewing profile — zsyllepsis

Maybe a charitable reading of the parent comment, but my interpretation of it was that while the _models_ are stateless, modern deployments of these models for inference rely on st…

True, we have been building conversational interfaces with traditional NLP. In my experience, they’ve been fairly fragile. Extending the example you gave, nicely packaged, fully de…

I don’t think that’s what the parent was saying. There are cases when refactoring Rust code where it’s possible to hit limits in the compiler related to e.g. lifetime inference. Wh…

One potential downside I see with this approach is that it forces you to store and name intermediate results which may or may not be meaningful on their own. Consider a slightly mo…

I think the labels could be much, much worse. They could contain straight noise, just completely random text - not even words. They could also contain plausible, factual text which…

I don’t think this is accurate. While most popular concatenative languages are stack-based, that is not a requirement for the paradigm. The Wikipedia article calls out a few altern…

In my experience SageMaker was relatively straightforward for fine-tuning models that could fit on a single instance, but distributed training still requires a good bit of detailed…

I think the author’s choice of function to demonstrate purity made this harder to grok as a reader. Asking the reader to “…exclude the I/O interactions…” when considering functiona…

The author specifically mentions, and benchmarks against, ripgrep in the linked content.

> Making the red go away is important because the red indicates a problem! This is a lot easier than other ways of discovering the error. Why would you want to discover the error l…

> If all you have are TS developers, the. IMHO, you don’t have very good developers. Does it change anything to reframe this as having a common denominator across all developers? A…