scoresmoke

6 ms·

1.
Worth Accepting: Evaluating Mellum at JetBrains(evalovernite.substack.com)
2 points by scoresmoke 1mo ago|0 comments
2.
The ARIANE 5 Software Failure (1997)(dl.acm.org)
4 points by scoresmoke 6mo ago|0 comments
3.
by scoresmoke 8mo ago
Before I buy, can you confirm the bridge is GDPR-compliant, AI-Act-ready, has a digital product passport, and passed its environmental impact assessment? Otherwise the local compliance officer will fine us before it even collapses.
4.
by scoresmoke 8mo ago
Yes.
5.
by scoresmoke 1y ago
I am working on post-training and evaluation tasks mostly, and I built Evalica as a convenient tool for my own use cases. The computation is fast enough to not bother the user, but the library does not stand in my way during the analysis.
6.
by scoresmoke 1y ago
I am thinking about this for a while and I think I’ll vibecode them. Not sure about WASM, though, as the underlying libraries should support it, too, and I am not sure about all of them at the same time.
7.
by scoresmoke 1y ago
You might also consider a fast implementation of Elo and Bradley–Terry that I have been developing for some time: https://github.com/dustalov/evalica (Rust core, Python bindings, 100% test coverage, and nice API).
8.
JetBrains releases Mellum, an 'open' AI coding model(techcrunch.com)
5 points by scoresmoke 1y ago|1 comments
9.
by scoresmoke 2y ago
GPT-2 follows the very well-studied architecture of Transformer decoder, so the outcomes of this study might be applicable to the more complicated models.
10.
by scoresmoke 2y ago
Ruff and uv are both excellent tools, which are developed by a VC-backed company, Astral: https://astral.sh/about . I wonder what their pitch was.
11.
by scoresmoke 2y ago
The most important changes are deprecations of certain public APIs: https://numpy.org/devdocs/release/2.0.0-notes.html#deprecati... One new interesting feature, though, is the support for string routines: https:&
12.
NumPy 2.0(numpy.org)
324 points by scoresmoke 2y ago|76 comments
13.
Cuped Explained(statsig.com)
1 points by scoresmoke 3y ago|0 comments
14.
Hydra: Lessons from the Largest Darknet Market(onlinelibrary.wiley.com)
3 points by scoresmoke 3y ago|0 comments
15.
Structure and Interpretation of Computer Programs: JavaScript Edition(mitpress.mit.edu)
2 points by scoresmoke 3y ago|0 comments
16.
by scoresmoke 3y ago
Thank you! I excluded the coding tasks as most annotators don't possess this expertise. I trust them in comparing pairs of dissimilar model outputs that don't require any specific skill but commonsense reasoning. The only manual a
17.
Show HN: Llmfao – Human-Ranked LLM Leaderboard with Sixty Models(dustalov.github.io)
2 points by scoresmoke 3y ago|2 comments
18.
Large language models in 2014, applied to spell-checking(evalovernite.substack.com)
1 points by scoresmoke 3y ago|0 comments
20.
by scoresmoke 3y ago
It's all about timing and communities. In my echo chamber, everybody is currently making them a part of the product, but I'm interested in a more representative sample. Hiring usually precedes shipping. Every success in your job s
21.
by scoresmoke 3y ago
I found code LLMs to be very useful for rewriting nested for-loops in Python as nice vectorized operations in NumPy. One has to be careful about unexpected array materialization, but generally it works really well and saves a lot of time.
22.
by scoresmoke 3y ago
I have seen that many teams are trying to perform model routing by sending simpler queries to cheaper models and complex queries to more complex and expensive models, e.g., https://www.anyscale.com/blog/a-comprehensive-
23.
Ask HN: How did LLMs change your products?
14 points by scoresmoke 3y ago|8 comments
24.
Arm Announces Pricing of Initial Public Offering: $51.00 per Share(arm.com)
4 points by scoresmoke 3y ago|0 comments
25.
by scoresmoke 3y ago
Discussions about LLM alignment often miss topics of data quality and quantity. It turns out that current models like Llama 2 use 10K+ prompts and responses for supervised fine-tuning (SFT) and 100K+ human preference pairs. While the prefer
26.
by scoresmoke 3y ago
Yes, this is a big disadvantage. But have you tried Mamba that aims at implementing Anaconda more efficiently? It works really well in most cases. https://mamba.readthedocs.io/
27.
Reinforcement Learning from Human Feedback: When the Math Ain't Enough(evalovernite.substack.com)
1 points by scoresmoke 3y ago|0 comments
28.
Kaggle Models(kaggle.com)
3 points by scoresmoke 4y ago|0 comments
29.
Homebrew serves 52M packages per month by storing data in container registry(medium.com)
6 points by scoresmoke 4y ago|0 comments
30.
Ask HN: Lightweight Authentication
31 points by scoresmoke 4y ago|24 comments

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