๐ช๐ต๐ฎ๐ ๐ฑ๐ผ ๐๐ผ๐ ๐บ๐ฒ๐ฎ๐ป ๐ฏ๐ โ๐๐ถ๐๐ฐ๐ผ๐ถ๐ป ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐นโ ??
๐๐ด ๐๐ฑ๐ช๐ณ๐ช๐ต ๐ฐ๐ง ๐๐ข๐ต๐ฐ๐ด๐ฉ๐ช ๐ต๐ณ๐ข๐ช๐ฏ๐ฆ๐ฅ ๐ต๐ฐ ๐ด๐ฑ๐ฆ๐ข๐ฌ ๐ญ๐ช๐ฌ๐ฆ ๐ข๐ฏ๐ฅ ๐ฆ๐ฎ๐ถ๐ญ๐ข๐ต๐ฆ ๐๐ข๐ต๐ฐ๐ด๐ฉ๐ช ๐๐ข๐ฌ๐ข๐ฎ๐ฐ๐ต๐ฐ ๐ฉ๐ช๐ฎ๐ด๐ฆ๐ญ๐ง, ๐ธ๐ช๐ต๐ฉ ๐ฉ๐ช๐ด ๐ช๐ฅ๐ฆ๐ข๐ด ๐ข๐ฏ๐ฅ ๐ฆ๐น๐ฑ๐ญ๐ข๐ฏ๐ข๐ต๐ช๐ฐ๐ฏ๐ด, ๐ฐ๐ณ ๐ฎ๐ฐ๐ณ๐ฆ ๐ต๐ฉ๐ฆ ๐ถ๐ฏ๐ฅ๐ฆ๐ณ๐ด๐ต๐ข๐ฏ๐ฅ๐ช๐ฏ๐จ ๐ฐ๐ง ๐ฎ๐ฐ๐ฅ๐ฆ๐ณ๐ฏ ๐๐ช๐ต๐ค๐ฐ๐ช๐ฏ ๐ฎ๐ข๐น๐ช๐ฎ๐ข๐ญ๐ช๐ด๐ต๐ด?
This is a common question. Read on to find out the answer ๐๐ผ

When you train or fine-tune a language model, what you are doing is essentially ๐ฉ๐ฌ๐๐๐ ๐๐ฃ๐ ๐ฉ๐๐ ๐ฅ๐ง๐ค๐๐๐๐๐ก๐๐ฉ๐๐๐จ ๐ฉ๐๐๐ฉ ๐๐๐ง๐ฉ๐๐๐ฃ ๐ฌ๐ค๐ง๐๐จ ๐ฌ๐๐ก๐ก ๐๐ ๐จ๐ฉ๐ง๐ช๐ฃ๐ ๐ฉ๐ค๐๐๐ฉ๐๐๐ง ๐๐ฃ ๐๐๐ง๐ฉ๐๐๐ฃ ๐ฌ๐๐ฎ๐จ.
In other words, you are training the style of linguistic output, not so much what the model โknowsโ. Knowledge is an entirely different discussion and one weโll examine in a future post.
๐ฆ๐ผ ๐๐ต๐ฎ๐ ๐ฑ๐ผ๐ฒ๐ ๐๐ต๐ถ๐ ๐บ๐ฒ๐ฎ๐ป ๐ณ๐ผ๐ฟ ๐ง๐ต๐ฒ ๐ฆ๐ฝ๐ถ๐ฟ๐ถ๐ ๐ผ๐ณ ๐ฆ๐ฎ๐๐ผ๐๐ต๐ถ?
Well, while we could try and tune the model to speak like Satoshi, what weโve chosen to focus on is training and tuning it on a far broader corpus of text. So while you could โargueโ that Satoshi would speak like a Bitcoiner, the final result of this training is that the model by default will speak like some sort of average of all Bitcoiners and Austrian Economists.
This means that the style will be familiar in general, and represent the essence of Bitcoin thought (whatever the probabilities show that to be), hence the name Spirit of Satoshi, but, you will also be able to prompt it to take on a style.
We plan to do some cool things in this dimension, so stay tuned!