Viewing profile — npn

weak argument. deepseek v4 flash is open weight, you can easily find other providers with competitive price with Deepseek (except for input caching), some even half as cheap.

From the private conversation of deepseek CEO and the investors, I'm under impression that they take pride for the low API price though. So it is not only training data. If they re…

btw, GA usually means it is suitable for production, and available globally. the last time a gemini model was available globally in multiple datacenters was gemini 2.0 era.

Similar to aistudio vs vertex. Or rather, Alibaba cloud is equivalent to google cloud or aws.

More like it is a generic idea that has been implemented 1000 times before so LLM already have the perfect solution. Well, not like I'm saying the product is doomed though, because…

weird, for so long I'm damn sure that researchers are obligatory to release research papers to fulfill their quotas. otherwise they will lost their titles. so unless those companie…

well usually you can just generate the data using LLM. use 2 or 3 different frontier models from different providers, then compare the results and pick the consensus. yes it is not…

There is a list of a few websites that I subconsciously think only have garbage articles and never really pay serious attention to them: quora, medium and substack. Surely dev.to a…

fine tuning a small LLMs or even real small language models (like bert) is what the recommended way since the introduction of LLM. the benefit is pretty much obvious: faster to run…

even deepseek, with their current (dirt cheap) price, can earn enough profit to cover the cost (hardware investment?) in 10 months.

Huawei chips need advanced 3d packaging in order to keep up. Since the process is too complex the yield is still bad. Not to mention there is a lot of demand from various factors, …

They spend $40mil for lobbying, I'm sure they can also spare some millions to this place (and other places like reddit). They all do.

AI means it has npu, Max+ is marking the memory channel, PRO is a normal label for chips that have extra security baked in, it has been this way since forever. I don't see anything…

update: the knowledge cut off date is "unknown" now. funny because some people downvoted me believed that there is no relation between knowledge cut off date and real world events.…

tested the models on aistudio. despite that the knowledge cut off is march 2026 it still knows nothing about 2025! you can check by asking "list notable world events in 2025, only …

what a horrible article. full of misinformation and dishonesty. 1. training new base models are expensive for sure, but fine-tuning them are relatively inexpensive enough the labs …

Did they cry about it? No right? Don't apply your own standard then judge them about it, petty people. Stackoverflow aimed to be a knowledge base. And knowledge base has a ceiling …

Not worth it. I have just tried a single prompt in the web interface and it is still not finish reasoning. It thinks too much and often repeats the same stuff over and over. Combin…

it is funny because nobody ever bother points out that they overcharge you for text input token price. sure it was pretty resource intensity a few years before, but with turbo quan…

That's for the long term. Anthropic only needs short term solutions for the sake of IPO. They will do whatever they can to sabotage other companies (specially the Chinese ones) to …

I doubt you can do that. MTP magic happens because for texts, we have a lot of low value fixed tokens that almost always get generated in the sequence (like punctuation, function w…

How? edit: now I read the article fully, seems like they utilize some very effective MTP algorithm. and somehow the quality is still decent enough. though, I doubt that the quality…

On the other hand, google does not lose all the money in that deal. Computation is still expensive. So at most they lose like 200M each month. Peanut compares to the potentially ga…

Is this somehow satire? This is just the dgx spark with keyboard and monitor in a convenient format. Since it has more stuff, I'm sure that the price mark up will increase too. Up …

from what I understand, it's because unlike the other models, MAI models haven't yet fine-tuned against the synthetic datasets specifically designed to boost the benchmark scores.