LLMs are a type of machine learning. Input is broken into tokens, which are then fed through a type of neural network called a transformer model.
The models are trained with a process known as deep learning, which involves the probabilistic analysis of unstructured data, which eventually enables the model to recognize distinctions between pieces of content.
That's like textbook machine learning. What you said about interpreting sentiment isn't wrong, but it does so with machine learning algorithms.
I figure the best way to convince China to stop supporting Russia is to give them a better option. Europe is a bigger economy and more in line with many of China's goals. Russia is chaotic and weak by comparison.
Well, if someone changes their name you'd add a new record with the same SSN to hold their new name, that way it keeps the records consistent with the paperwork; old papers say their old name and reference the retired record, new papers use their new name and reference the new record.
You can use the SSN as the key to find all records associated with a person, it doesn't have to be a single row per SSN, in fact that would make the data harder to manage and less accurate.
E.g. if someone changes their last name after getting married, it could be useful to be able to have their current and former name in the database for reference.
Maybe, but I could see thunderbolt replacing HDMI and display port over time. It can carry video, audio, data, and power simultaneously, and has more bandwidth for additional information like HDR or 3D.
Asking for a solution to the question of what to do with a type of person. That's the reason the Nazis built concentration camps too.
Turns out you don't actually need to imprison people in extrajudicial torture camps, you can just treat them with a shred of human decency instead.
Like we've been dealing with immigrants for centuries, practically every nation has, we don't need a 'final solution', we can process them individually and find solutions dynamically based on the needs and situation of the individual. Sometimes that means deportation, sometimes it means granting asylum, and sometimes it means working with our allies to find a suitable destination. Imprisoning them in Guantanamo bay is not a solution, it's a pretense for extermination.
It's hardly in Russia's interest for their sons to die, their equipment to explode, and their economy to crumble. It's self destructive, which it has in common with capitalism, but worse than that it's a genocide of the Ukrainian people.
AbsentBird @ absentbird @lemm.ee Posts 9Comments 471Joined 2 yr. ago
LLMs are a type of machine learning. Input is broken into tokens, which are then fed through a type of neural network called a transformer model.
The models are trained with a process known as deep learning, which involves the probabilistic analysis of unstructured data, which eventually enables the model to recognize distinctions between pieces of content.
That's like textbook machine learning. What you said about interpreting sentiment isn't wrong, but it does so with machine learning algorithms.