Definitely the first. I work in ML, and I find for instance people with background mainly in c# to be the least fit for my field, particularly if they have long experience. So I understand this kind of requests
Definitely the first. I work in ML, and I find for instance people with background mainly in c# to be the least fit for my field, particularly if they have long experience. So I understand this kind of requests
Is it a stereotype that British work hard? I thought the stereotype is that they are always drunk.
Is that from Google? I was expecting much better code given the average engineer salary. That code looks pretty ugly.
Because he was ceo of a company in a critical position to define the future of economy. Currently the tech field is the biggest and most influential of all economic fields. And by tech here we talk about digital world. There’s absolutely no comparable sector at the moment for importance, not even pharma.
It literally defines the modern economy. In the field, openai is an incredibly important company for future relative success and power of big tech companies.
This is why it is so important for world economy
I used to dual boot linux with windows Vista on an old laptop. I had only installed there the first assassin’s creed and Rome total war. Nothing else, never really connected to internet. After 1 year of not using it a part than few total war sessions, vista was so slow that was unusable. It spontaneously became slow for no reason. I completely removed it, left only linux, and that laptop survived 7 years of intensive use, and was still working 10 years later (just too old).
Vista was a scam
How is it useful? Dessert vs food?
“At the end of the lunch nowadays everyone want to have a dessert, but this is wrong because they should have food”…
The sentence AI vs algorithms sounds pretty much like this
AI is a broad family of statistical and simulation algorithms.
They don’t replace algorithms, they are algorithms very powerful for some cases. For other cases they are less powerful, or overkill and they shouldn’t be used. But there is no dichotomy, as one (AI) is part of the other (algorithms)
It’s not an average machine though. It’s a non-linear predictive system. Averages suck in non-linear predictions
I guess nobody knows. It also really depends on the program installed. If you need all qt, gdk, jdk, java for each program with a ui… You’d run out of space soon
It refers to the fact that feelings are not a reflection of the outside reality, but a reflection of one’s perception of it. According to OP, this is proven by how feelings completely change by simply changing the way the brain perceives reality, via a psycotropic compound, while actual reality remains unchanged.
This is a well known scientific and philosophical fact, that OP has only come to know recently thanks to personal experience with psycotropic drugs
Such epiphany resulted in the shower thought we are commenting.
beep beep, I am not a bot, this action wasn’t performed automatically
Because in many languages that are not English, America is the whole continent. What Americans call “America” is United States of America. We need a word for their citizens, that is not the name of the inhabitants of the whole continent
No, its taste isn’t something that Italians would appreciate. It tastes like a cheap mix of a cheap German frankfurter and cheap calabrese 'nduja. It’s almost impossible to find it in Italy.
I have never seen it in my life in Italy
In Italian “statunitensi”, i.e. United States people
Thanks, so I don’t have to be that “actually” guy mentioning that 99% of Italians have never seen pepperonis in their life. You saved me
Because international agencies and governments recognize those settlements as violations of international laws https://press.un.org/en/2016/sc12657.doc.htm . To create those settlements, most often, people previously living there were forced to move somewhere else, often by using army.
That’s the reason. Whatever is someone’s side on the conflicts, those settlements are simply widely recognized as illegal
What news do you read? It has been on the news constantly over the past decades. Now we have a dramatic escalation of an ongoing conflict
In the easiest example of a neuron in a artificial neural network, you take an image, you multiply every pixel by some weight, and you apply a very simple non linear transformation at the end. Any transformation is fine, but usually they are pretty trivial. Then you mix and match these neurons to create a neural network. The more complex the task, the more additional operations are added.
In our brain, a neuron binds some neurotransmitters that trigger a electrical signal, this electrical signal is modulated and finally triggers the release of a certain quantity of certain neurotransmitters on the other extreme of the neuron. Detailed, quantitative mechanisms are still not known. These neurons are put together in an extremely complex neural network, details of which are still unknown.
Artificial neural network started as an extremely coarse simulation of real neural networks. Just toy models to explain the concept. Since then, they diverged, evolving in a direction completely unrelated to real neural network, becoming their own thing.
No, what you describe is a basic decision tree. Let’s say the simplest possible ML algorithm, but it is not used as is in practice anywhere. Usually you find “forests” of more complex trees, and they cannot be used for generation, but are very powerful for labeling or regression (eli5 predict some number).
Generative models are based on multiple transformations of images or sentences in extremely complex, nested chains of vector functions, that can extract relevant information (such as concepts, conceptual similarities, and so on).
In practice (eli5), input is transformed in a vector and passed to a complex chain of vector multiplications and simple mathematical transformations until you get an output that in the vast majority of cases is original, i.e. not present in the training data. Non original outputs are possible in case of few “issues” in the training dataset or training process (unless explicitly asked).
In our brain there are no if/else, but electrical signals modulated and transformed, which is conceptually more similar to the generative models than to a decision tree.
In practice however our brain works very differently than generative models
And heat, a lot of heat. 4th time dead