3 ms·

it is just the commercial name for llm and related technologies.

• dartos 3y ago
  That’s just not true. The technology that’s behind LLMs have been in use in many disciplines for decades. (Under the names “machine learning,” “statistics,” and now AI) LLMs are just the ones that are popular right now because even non technical people can interact with them. In the mid 2010s it was image classification, for example.
  • skellington 3y ago
    Sort of. The deep-learning AI revolution started with back propagation techniques (80s) that made neural nets trainable. But since then it's taken a long time to get to the relatively recent architectural breakthroughs like transformers (2017) and modern-diffusion (2020) which lead to chat-gpt and dall-e. All of the big AI breakthroughs now are based on neural nets vs classical machine learning which grouped a bunch of statistical, regression, and optimization type models together. Modern AI is the synthesis of new techniques and old ideas plus huge datasets and huge computing power.
  • catchnear4321 3y ago
    > LLMs are just the ones that are popular right now because even non technical people can interact with them. this was essentially my point, that a /s might have made more clear, and made cost less internet points. ai and how the term is used commercially are very different things. the latter tending to be a myopic view of the former that is constrained by dollar-seeking. ai is getting to be old as shit. ai hype is in its latest wave of commercialization. llms being the current so hot right now.
  • jdefr89 3y ago
    It’s true that AI has seen many advancements before a “harsh winter” comes along. You’re correct this is sensationalized, and also, some of these technologies have indeed been in use for decades. But, the Transformer model used by the new popular LLMs is quite recent (2017 is when the paper originally released I believe).