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1. Very expensive - why do you care?

2. Opinionated - not necessarily bad, and can be tuned.

3. Politically biased - that's a bullshit criterion. You want a tool that's reasonably objective - being in the middle between the two current political extremes is different from being objective.

4. Doesn't learn new skills - it does.

5. Controlled by a small group of people - that's why there are other implementations of LLMs.

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How does it learn new skills?

1. In-context learning - you can teach the model things without retraining the underlying model parameters.

2. Actual model updates (it's not like we'll be stuck with the 2023 version forever).

I don't think you can do 1, can you demonstrate that is possible?

I don't argue you can't add to its trainingset, of course you can.

https://platform.openai.com/docs/guides/fine-tuning

Ah I wouldn't call that teaching it something new (like a concept), but giving it prompts and responses. It is really cool, though!

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