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I disagree, even though I'd love for it to be different. With models like Opus, I can give it a good architecture and expect good results. For many of the less
by lukaslalinsky 6mo ago
I disagree, even though I'd love for it to be different. With models like Opus, I can give it a good architecture and expect good results. For many of the less expensive models, that is not the case, they make mistakes, you need to over specify, they get stuck in a loop, etc. As you get to the models you can realistically run locally, it gets so frustrating I'd rather be writing the code myself.
- datsci_est_2015 6mo agoAt what point will local inference catch up to today’s cloud inference? Will it ever? If it doesn’t, does that imply a certain dead-end for the LLM inference industry?
- lukaslalinsky 6mo agoI don't think at any point in foreseeable future we will have terabytes of RAM for dedicated LLM chips at home.