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Don't use an LLM when you can use a much cheaper model. 
Don't use an LLM when you can use a much cheaper model. 
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The problem is that no one tells you how to actually do it.
The problem is that no one tells you how to actually do it.
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Just picking a pre-trained model (e.g., BERT) and throwing it at your problem won't work!
Just picking a pre-trained model (e.g., BERT) and throwing it at your problem won't work!
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If you want a small model to perform well on your problem, you need to fine-tune it.
If you want a small model to perform well on your problem, you need to fine-tune it.
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And to fine-tune it, you need data. 
And to fine-tune it, you need data. 
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The good news is that you don't need a lot of data but instead high-quality data for your specific problem.
The good news is that you don't need a lot of data but instead high-quality data for your specific problem.
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In the latest livestream, I showed you guys how to get started with Argilla on the Hub! Hope to see you at the next one.
In the latest livestream, I showed you guys how to get started with Argilla on the Hub! Hope to see you at the next one.
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https://www.youtube.com/watch?v=BEe7shiG3rY
https://www.youtube.com/watch?v=BEe7shiG3rY
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Don't use an LLM when you can use a much cheaper model. 

The problem is that no one tells you how to actually do it.

Just picking a pre-trained model (e.g., BERT) and throwing it at your problem won't work!

If you want a small model to perform well on your problem, you need to fine-tune it.

And to fine-tune it, you need data. 

The good news is that you don't need a lot of data but instead high-quality data for your specific problem.

In the latest livestream, I showed you guys how to get started with Argilla on the Hub! Hope to see you at the next one.

https://www.youtube.com/watch?v=BEe7shiG3rY

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