GENERATIVE AI

OpenAI AI Functionality Speculation Without Official Confirmation

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16 April 2024 5h45

That's pretty much my guess too, but I can't confidently tell other people that's what it's doing because I don't have confirmation from OpenAI

OpenAI’s vague data usage policies raise transparency concerns

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16 April 2024 5h37

OpenAI have been infuriatingly vague about what "using ChatGPT conversations to help improve our models" actually means They have various opt-out options even for free usage these days but it's hard to keep track of where they are and how they work

Understanding How Large Language Models Actually Work

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16 April 2024 5h27

It's not an unreasonable mental model to form to be honest – enormous weird blobs of vector floating point matrices and token embeddings are hardly an obvious way that this technology might work

Lack of transparency in AI model training data usage

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16 April 2024 5h18

Right, the most frustrating thing about this is that the complete lack of of transparency about how training works (and how the data is used) means it's impossible to confidently state how it all really works

Common Misconceptions About How AI Models Learn

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16 April 2024 5h11

I wonder how common it is for people to confidently hold an inaccurate idea of how AI models work where they believe that anything they show the model is instantly memorized and added to its "knowledge" of the world

How Models Actually Work: Training Misconceptions

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16 April 2024 5h07

I'm beginning to suspect that many people – including many corporate decision makers – have a confident but inaccurate model of how models work, where they think that absolutely anything the model sees is "training" which it then perfectly memorizes and adds to its knowledge

→ View original post on X — @fchollet

LLMs Unnecessary When Cheaper Models Perform Better

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@fchollet

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16 April 2024 3h27

You absolutely don't need LLMs for this. Using LLMs here where a model that's 0.1% as expensive would work 5x better would be a show of gross incompetence.