What you need is a horse. Full self-driving, all terrain, net zero, ubiquitous fuelling infrastructure, built in alarm and self-defence capabilities, and fully reusable and recyclable.
I jest but I’m actually considering a horse to take my daughter to school, as it would shorten the journey considerably, as we live in tortured terrain in the middle of nowhere, and would allow her to go alone in a few years - again, mobility and utility are the goals for us here, not a car.
My father grew up in a somewhat rural Irish village and there was one farmer who would take his horse and cart to the pub (fairly anachronistic even in his day) in the knowledge that no matter how passed-out drunk he got the other patrons would load him into the cart and the horse would take him home. Take that, self-driving cars!
For sure but the best thing about owning a vehicle is object permanence - for both the vehicle and whatever is inside it.
At a certain point it’s just easier and more efficient to own something than rent/subscribe etc.
Of course taxis/rentals all serve a purpose but usually not for daily use.
In fact, I probably looked at 2 dozen of businesses until this one stood out. the founder and I got along super well which made the acquisition process a breeze.
A vector is a position in a dimensional space. In 2D space a vector is a point (x, y) like (1, 3) or (-2.5, 7.39). We can also do simple math on vectors like addition: (1, 3) + (2, -1) = (3, 2).
LLMs treat language as combinations of vectors of a very high dimension -- (x, y, z, a, b, c, d, ...). The neat thing is that we can combine these just like the 2D vectors and get meaningful results. If we have the vectors for the concepts "King" and "Woman", adding them gives a vector close to the one for "Queen"!
Once you know this, you can extrapolate and look for ways to categorize groups of vectors and combine them in new ways. As I read it, this research is about finding the vector weights for text from specific time periods -- i.e. January of 2021 -- and comparing them to the vectors for text from a different period -- i.e. March of 2021. It seems that all the operations are still meaningful, you can even do something like averaging vectors in January and March and getting ones that look like vectors in February!
Can’t find a link to „onair“ you on your website.
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