Data Hoarder Uses AI to Create Searchable Database of Epstein Files
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Best use of AI so far
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Best use of AI so far
You're going to be happy about its application in biochemisty, genetics and astronomy. The volumes of data needing analysis are staggering, they're just the perfect tasks for a robot brain.
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You're going to be happy about its application in biochemisty, genetics and astronomy. The volumes of data needing analysis are staggering, they're just the perfect tasks for a robot brain.
Different than LLM. It's other machine learning that are just using the AI label now to join the hype train. Not you same as what openAI and other AI companies are selling
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Different than LLM. It's other machine learning that are just using the AI label now to join the hype train. Not you same as what openAI and other AI companies are selling
But... isn't it the other way around? LLMs are just one type of AI and they used the overall term AI to hype their products because it sounds better.
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But... isn't it the other way around? LLMs are just one type of AI and they used the overall term AI to hype their products because it sounds better.
Kind of. AI is now the catch all now but that's because LLM were called generative AI. So the older terms all followed suit to catch the hype train. But most of the problems with AI are LLM specifics.
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Kind of. AI is now the catch all now but that's because LLM were called generative AI. So the older terms all followed suit to catch the hype train. But most of the problems with AI are LLM specifics.
Kind of. AI is now the catch all now but that’s because LLM were called generative AI. So the older terms all followed suit to catch the hype train. But most of the problems with AI are LLM specifics.
Generative AI is a specific subset of Deep Learning, which is a subset of Machine Learning, which is a subset of AI. Generative AI includes more than just LLMs. It also includes the image and video AI creations. There are also GenAI than makes music.
Machine Learning is typically creating versions of things that existed prior, or recreating things from behavior extracted from prior data. Deep Learning is similar but employs neural networks of various types. The distinction between GenAI and Deep Learning is that GenAI creates something that never existed before, essentially original works.
Your base point in this conversation stands though. The Deep Learning used in science for analyzing patterns or behavior in, say, biology, is very different (and its more useful) than GenAI and the slop it can produce.