Viewing profile — lsorber
lsorber
HN member- Joined
- Tue, May 06, 2014, 11:46 AM UTC
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- 55 items
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About lsorber
Recent public activity
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Comment #44404289
For those who want to dive deeper, here’s a 300 LOC implementation of GRPO in pure NumPy: https://github.com/superlinear-ai/microGRPO The implementation learns to play Battleship i…
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Show HN: RAGLite – A Python package for the unhobbling of RAG
RAGLite is a Python package for building Retrieval-Augmented Generation (RAG) applications. RAG applications can be magical when they work well, but anyone who has built one knows …
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Comment #42226704
The name ‘late chunking’ is indeed somewhat of a misnomer in the sense that the technique does not partition documents into document chunks. What it actually does is to pool token …
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Comment #42226094
You don’t have to reduce a long context to a single embedding vector. Instead, you can compute the token embeddings of a long context and then pool those into say sentence embeddin…
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Comment #25439724
Did you even need the D, wouldn't a PI controller be sufficient?
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Comment #25423318
If TSMC buys its lithography machines, why should it even get any credit for 5nm at all?
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Comment #25251072
Could you give an example of an unsolved riddle from linguistics?
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Comment #24676862
In my opinion, the best solution to these issues is to: 1. Declare numbers as numbers in the configuration language. E.g. "decimal(1e1000)". 2. Parse declared numbers with a lossle…
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Comment #24534417
Where's the data that says Moore's law no longer holds? I see comments and articles asserting this but everytime with evidence. The data that I do find certainly still suggests Moo…
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Comment #24507320
Sounds great until the client realises they can hire someone else who does charge by the hour, saving them a massive 100k - 10k = 90k compared to your proposition.
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Comment #24013453
Huh, makes a pretty big difference for us. We were using pandas' built-in to_parquet though, which seems to suffer from some overhead.
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Comment #24013430
Are you sure about that? It depends on how Cloudflare defines what a cold start is. It might well include the initial loading of your code, with imports and init.
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Comment #23968491
Have you benchmarked this against pickling those data files? In our experience, parquet's overhead isn't worth it for smaller data files.
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Comment #23920154
Looks neat. Are you considering a flake8 extension like bandit for easy adoption (in CI and in VS Code)?
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Comment #23743288
As a counterexample: we did actually run out of file descriptors on Lambda by not closing file descriptors.
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Comment #23454046
Can you give an example of a case outside of the happy path?
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Comment #23454041
My experience has been the opposite: building Docker images is much easier with conda than it is with pip. With conda you can start from miniconda3, copy an environment.yml, and th…
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Comment #22982071
I sympathize with your views in that a formalisation of meaning in life would seem to take away from it somewhat. However, your response also comes across as putting a stake in the…
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Comment #22967488
Dynaconf [1], though I think this article's approach in combination with pydantic is better. [1] https://dynaconf.readthedocs.io/en/latest/
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Comment #22962639
In what sense has Intel vertically integrated design and fab according to you?
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Comment #22513350
Nocedal has some papers in this direction.
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Comment #22312954
I think you missed the 'easily'.
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Comment #22153000
What is your preferred format for digesting content like this?
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Comment #21445167
> Any project with CI should recreate the environment a lot. That's a very inefficient way to run your CI, with conda and pip alike. Instead, you could build your environment once …