Computation intensive tasks often take large amounts of data as input.
Computation intensive tasks often take large amounts of data as input. And sharing data with a worker always has to be done by serializing this data (in a message). So for large inputs, this approach doesn't work (the main thread would block the cpu while serializing the messages). But my biggest problem with workers is that they don't have an event-loop, so I can't share asynchronous code between the main thread and the workers.
Posted by amelius on Apr 14, 2015, 12:38 PM
Tags
Related issues
- The biggest problem with having an LLM do this, from what I've observed of at least frontier models, is that the way they are trained...
- The biggest problem with MOND is that it was hand-crafted with additional parameters simply to fit the data.
- (My comment is about detached houses).
- The biggest problem with this is that I can't run my company's own internal benchmarks against this API, because they will be trained int...
- > steer Claude away from over-engineering parts of the system in response to hypothetical concerns.
- Why is there no comparison with FLUX 3 Image?
Raise real-world problems, find people facing the same issue, and discuss solutions.7,000 issues0 comments
hackernews (Other)
The biggest problem with having an LLM do this, from what I've observed of at least frontier models, is that the way they are trained...
The biggest problem with MOND is that it was hand-crafted with additional parameters simply to fit the data.
(My comment is about detached houses).
The biggest problem with this is that I can't run my company's own internal benchmarks against this API, because they will be trained int...
> steer Claude away from over-engineering parts of the system in response to hypothetical concerns.
Why is there no comparison with FLUX 3 Image?
> our Git monorepo was developing an annoying problem Sentences like this are so common from people using monorepos that I am convinced ...
Why is there no contact form?
Computation intensive tasks often take large amounts of data as input.
Computation intensive tasks often take large amounts of data as input. And sharing data with a worker always has to be done by serializing this data (in a message). So for large inputs, this approach doesn't work (the main thread would block the cpu while serializing the messages). But my biggest problem with workers is that they don't have an event-loop, so I can't share asynchronous code between the main thread and the workers.
Comments (0)
No comments yet. Start the discussion.