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seurimas

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Positional encoding is standard for transformers of all stripes. They introduce a seemingly novel, redundant positional encoding scheme. It's more difficult to train, but seems to enable producing multiple tokens at once (i.e. you could get an answer that is N tokens long in N/x steps instead N steps).

Interesting! 25 business days for a business is close to 41 calendar days, too. I wonder if there's some sort of common, human constant involved. 25 days of engaging with something to decide whether that something is worth keeping around. Maybe the median relationship length is 25 days, too...

Usually, you pay what they ask and, if you don't like the price, you don't use their work. It's very simple, but OpenAI skipping that step opens them up to courts deciding that price, if a price is actually owed. That price would probably be more than 0, which is what the authors have gotten so far.

The features vs versions graph is more than a little nonsensical, and its conclusions even more so.

They should be stable and move slowly so that most of the time of your develoeprs is not spent fighting with their tools.

I can't speak to Go's tooling base, but Rust's is head and shoulders above any other ecosystem that I've had to work with. This is definitely more a point in Rust's favor than against.