3 ms·
The github you linked shows ~1200, not 1800 which is orders of magnitude difference. The other is fine tuning, which is out of scope. A 1200 has something like
by bongodongobob 3y ago
The github you linked shows ~1200, not 1800 which is orders of magnitude difference. The other is fine tuning, which is out of scope.
A 1200 has something like a 1% chance of beating an 1800. 1200 is sort of you know the rules and maybe have a general idea of an openings, make weak tactical moves mid game and poor concept of endgame.
It's just too "deep" for an LLM and a poor standard regardless.
As an avid chess and GPT person, I've tried to get it to play decent chess but can't. Neither of your links support it, but if you've got anything else, send it.
- famouswaffles 3y ago>The github you linked shows ~1200, not 1800 which is orders of magnitude difference. 1200 is the Elo of the small gpt model the github owner trained. 1800 is the Elo of gpt-3.5-turbo-instruct. https://twitter.com/GrantSlatton/status/1703913578036904431?t=UGkUvLXCXWu8ema3YH548A&s=19 https://twitter.com/GrantSlatton/status/1703913578036904431?... >As an avid chess and GPT person, I've tried to get it to play decent chess but can't. You are not using the model that can play chess. It can only be accessed by Open AI's playground under the Completions endpoint. https://platform.openai.com/playground?mode=complete&model=gpt-3.5-turbo-instruct https://platform.openai.com/playground?mode=complete&model=g...
- bongodongobob 3y agoVery interesting, I will check this out, thank you.