SnoopJfalsehoods youtubers believe about "AI"
hearing gullible 20-somethings say "this technology DOES have good use-cases, like in medicine for example…"
is going to turn me into the fucking Joker
Olivia Vespera@SnoopJ Does the protein folding one count as not a good use case?
davidak@OliviaVespera it is a good use of machine learning
the discussion is about generative AI like Large Language Models (LLM) or audio, image and video generators that are trained on copyrighted material
M Schommer@davidak @OliviaVespera @SnoopJ
Does anyone know of a good list that differentiates between the multiple types of "AI" technologies? LLM vs. MoE vs. …?
That would be helpful in such discussions...
Does anyone know of a good list that differentiates between the multiple types of "AI" technologies? LLM vs. MoE vs. …?
That would be helpful in such discussions...
MarjorieR@musevg @davidak @OliviaVespera @SnoopJ to me the main distinction between LLMs (Chat bots) and other forms of AI (machine learning) is that in machine learning there is some objective training data to be trained on (and with a non training set of data to validated against) whereas all an LLM does is predict the most likely set of words in a sequence based on its training set of words.
So in a medical context the model is tested and compared against clinical data or human expert judgement. An LLM applied to a medical question just comes up with plausible sentences.
So in a medical context the model is tested and compared against clinical data or human expert judgement. An LLM applied to a medical question just comes up with plausible sentences.
Orb 2069@musevg you would have to go pretty deep into the topic to understand all the different approaches
Wikipedia has probably a good neutral overview
https://en.wikipedia.org/wiki/Artificial_intelligence
and here LLMs specifically
https://en.wikipedia.org/wiki/Large_language_model
it is a big research field going back to 1943
i think the technology and research is not the problem, but for-profit companies acting unethical by ignoring copyright and making billions from the stolen work of (small) artists
@davidak @OliviaVespera @SnoopJ
Back in the day, we had expert systems, PROLOG, LISP.
Now I'm just looking for the right terms to discern the different types of "AI"… I guess, image creators like Midjourney and music generators like Suno aren't LLMs. Or are they? And the correct term for "AI" used to analyze images (medical or geo/spatial) is...?
@musevg LLM is for text and the big LLMs are multimodal, which means they also can work with image and audio, like you can speak to it, show something with your webcam and it can understand you and recognize it and answer you with voice, way more natural than Text to Speech (like OpenAI ChatGPT Voice Mode)
https://chatgpt.com/features/voice
those models predict one token after another
the models to generate media from text are diffusion models.
but there are now language diffusion models.....
@musevg i think usable terms to separate those two areas is Generative AI vs Machine Learning
where GenAI is the stealing slop machine and ML is what scientists do or pattern recognition in products like OCR
landel