lgessler

5 ms·

1.
by lgessler 14d ago
Spelling is no guide for pronunciation here, though. In North American and Commonwealth dialects of English I don't think there's a context in which the <f> in <of> is really pronounced as a [f]. It is rather a [v].
2.
by lgessler 14d ago
Not sure where you're from but in my dialect (North American) it's more common than not to have _have_ realized as [əv] ("uhv") in contexts like _should have_, _could have_ (but not _I have a car_, where it has to be the
3.
by lgessler 21d ago
true for XCOM in all difficulties except the hardest iirc
4.
by lgessler 1mo ago
I'm confused. I think you're confusing Gemini and Gemma. Gemini is Google's frontier offering which is closed-weight, API-only, like most frontier models. Gemma is Google's open-weight offering focused on deployment on c
5.
by lgessler 2mo ago
You're saying it's important to have up-to-date facts stored in parametric knowledge? It seems to me like that's grown less and less important as agentic capabilities have grown. Even if a frontier model doesn't know som
6.
by lgessler 3mo ago
Accuracy isn't a meaningful metric here without reference to a specific task.
7.
by lgessler 3mo ago
Not that this really takes away from the substance of the article, but the first two paragraphs are giving heavy Claude smell. Semicolons, em dashes, "That sequencing matters"... I guess I'm just a little surprised that anyon
8.
by lgessler 4mo ago
Raphaël Millière has a very useful term for this kind of vacuous dismissal, the redescription fallacy ( https://arxiv.org/pdf/2401.03910 , page 9): > Recent debates have been clouded by a misleading inference pattern,
9.
by lgessler 5mo ago
I'll be really interested to hear qualitative reports of how this model works out in practice. I just can't believe that a model this small is actually as good as Opus, which is rumored to be about two orders of magnitude larger.
10.
by lgessler 6mo ago
Is Java or Haskell any closer to human language?
11.
by lgessler 6mo ago
Has everyone always nailed their implementation of every program on the first try? Of course not. Probably what happens most times is you first complete something that sorta works and then iterate from there by modifying code, executing, ob
12.
by lgessler 6mo ago
I know this is mostly about keyword substitution but it still tickles me that you still write f(x) in this language and not (x)f given that Korean is SOV but I guess that's just how you notate that no matter what cultural context you&#
13.
by lgessler 7mo ago
Let's be real here, regardless of what Boris thinks, this decision is not in his hands.
14.
by lgessler 1y ago
Novels are fictional too. So long as they're not taken too literally, archetypes can be helpful mental prompts.
15.
by lgessler 1y ago
If you're really just doing traditional NER (identifying non-overlapping spans of tokens which refer to named entities) then you're probably better off using encoder-only (e.g. https://huggingface.co/dslim/ber
16.
by lgessler 1y ago
I recommend having a look at 16.3 onward here if you're curious about this: https://web.stanford.edu/~jurafsky/slp3/16.pdf I'm not familiar with Whisper in particular, but typically what happens in an AS
17.
by lgessler 1y ago
In my (poor) understanding, this can depend on hardware details. What are you running your models on? I haven't paid close attention to this with LLMs, but I've tried very hard to get non-deterministic behavior out of my training
18.
by lgessler 1y ago
Sure, this is a common sentiment, and one that works for some courses. But for others (introductory programming, say) I have a really hard time imagining an assignment that could not be one-shot by an LLM. What can someone with 2 weeks of P
19.
by lgessler 1y ago
I'm a professor at an R1 university teaching mostly graduate-level courses with substantive Python programming components. On the one hand, I've caught some students red handed (ChatGPT generated their exact solution and they were
20.
by lgessler 2y ago
> Fermentation is completely stopped in a regular fridge, you need higher temperature for fermentation. My understanding as a hobbyist brewer and fermenter is that this is not true. Fermentation is greatly slowed at lower temperatures, b
21.
by lgessler 2y ago
I think this is both a harmful and irrational attitude. Why focus on some trivial mechanical errors and disparage the authors for it instead of the thing that is much more important, i.e., the substance of the work? And in dismissing work f
22.
by lgessler 2y ago
With all respect and love to the OP, I must admit that I laughed out loud when I saw the AWS architectural diagram and wondered whether this might be a joke. Personally, I'd have implemented this as a few dozen lines of Python living a
23.
by lgessler 2y ago
I think GP is saying that just lines on the same plot would have been less deceptive, whereas the plot that is actually there has fake data points. Readers are used to the former being purely imaginative, whereas the latter almost always me
24.
by lgessler 2y ago
Extended (or rather, distended) Markdown flavors always make me queasy, and I don't love the snippet from Code Hike. In my mind, Markdown is fundamentally intended to be lightweight--something for a Reddit post or a blog comment. Heavi
25.
by lgessler 2y ago
> We hope that our BTS will light the way up like dynamite[9] for future research on Korean NLP.
26.
by lgessler 2y ago
This has led to work showing that models can do better sometimes if you decompose these into their constituent characters, e.g.: https://aclanthology.org/2022.emnlp-main.472.pdf
27.
by lgessler 2y ago
I'll add mine to the pile: I needed a visualization of the classic Towers of Hanoi puzzle for a course I'm teaching and Claude banged it out (in pure JavaScript, no less) in like 3 minutes of me typing: https://lgessler
28.
by lgessler 2y ago
I'm afraid I feel that this piece confuses more than it clarifies. First, saying a model "scours through its vast training data" is misleading at best: at inference time, LLMs no longer have direct access to their training da
29.
by lgessler 2y ago
IMHO reviews are almost indistinguishable from noise at the AI conferences I'm familiar with these days anyway, so I don't see much of a value add.
30.
by lgessler 2y ago
GP wrote "simple to use API". You can attribute many qualities to TensorFlow, but this is not one of them.

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