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this post was submitted on 23 Nov 2024
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Lol, no they didn't. The quotes this articles are using are talking about LLMs not chatbots. This is yet another stupid article from someone who doesn't understand the technology. There is a lot of legitimate criticism for the way this technology is being implemented but FFS get the basics right at least.
Are you asserting that chatbots are so fundamentally different from LLMs that "oh shit we can't just throw more CPU and data at this anymore" doesn't apply to roughly the same degree?
I feel like people are using those terms pretty well interchangeably lately anyway
People that don't understand those terms are using them interchangeably
LLM is the technology, Chatbot is an implementation of it. So yes a Chatbot as it's talked about here is an LLM. Although obviously chatbots don't have to be LLM, those that are not are irrelevant.
No, a chat bot as it's talked about here is not an LLM. This article is discussing limitations of LLM training data and inferring that chat bots can not scale as a result. There are many techniques that can be used to continue to improve chat bots.
The chatbot is a front end to an LLM, you are being needlessly pedantic. What the chatbot serves you, is the result of LLM queries.
That may have been true for the early LLM chatbots but not anymore. ChatGPT for instance, now writes code to answer logical questions. The o1 models have background token usage because each response is actually the result of multiple background LLM responses.