Very editorialized title.
Next-generation AI models
21–30 of 139 posts
Re: Next-generation AI models
#22Has anyone used both Tabnine and Copilot recently? Would like to know if compares to Copilot now. Last time I checked(end of last year) Tabnine was a far inferior product.
I switch between both fairly often because I'm interested in how the space is progressing but tabnine has always been my preference. It seems to aim for a bit of a "lower level" than Copilot which is what I'm looking for.
Re: Next-generation AI models
#23Ouch $17 AUD/month for a single user!
Re: Next-generation AI models
#24For this specific comparison, it’s essential to start from the technology, as many of the product differences stem from the differences in approach, architecture, and technology choices. Microsoft and OpenAI view AI for software development almost as just another use case for GPT-3, the behemoth language model. Code is text, so they took their language model, fine-tuned it on code, and called the gargantuan 12-billio…
Complete marketing PR. Probably you should be declaring where do you work when posting PR comments
Re: Next-generation AI models
#25I remember when Jacob Jackson’s (this kid is nothing less of a genius) tabnine project was posted on HN. Codota then bought tabnine and now they renamed themselves after this acquisition. Got me interested what Jacob is doing now. Looks like after his stint at OpenAI this is his new project: https://same.energy/
Thanks for linking it. I love the concept! I was looking for some art for the wall and I can't think of a better way to explore the options when you don't have a specific idea about the result you're after.
Re: Next-generation AI models
#26Ouch $17 AUD/month for a single user!
And for a dead product. These guys need to up their game fast, pivot, or fall off the radar.
Re: Next-generation AI models
#27I really want to love Tabine. I really, really do. I gave it a fair chance, let it index my private personal projects, ran it on my personal machine to see how it worked. The results are... not great. I'm using IntelliJ, and Tabnine is arrogant enough to believe that their autocomplete is superior to the libraries autocomplete, even when completely wrong or it has no idea of its autocomplete. These are opensource lib…
Seconded. Tabnine's suggestions were way worse than IntelliJ's suggestions. It was very annoying. Uninstalled it after a giving it a good try.
Re: Next-generation AI models
#28I had to uninstall Tabnine because its resource usage was unacceptable. Hopefully they've addressed that, because it was using way too much of my CPU at times that it shouldn't have been.
I used to have limited memory (8gb for my wsl container) and shit went crazy (had a f_u_tabnine bash function that ran a loop to kill the tab nine procs that had cores pinned) to the point of me giving up ~2 years ago. Now on 16gb memory for a wsl container, I've had no such problems with tabnine. So not clear if there were fixes or if more memory helped.
Re: Next-generation AI models
#29Has anyone used both Tabnine and Copilot recently? Would like to know if compares to Copilot now. Last time I checked(end of last year) Tabnine was a far inferior product.
Just got done using Tabnine for about 2 months a month ago. Switched to Copilot. There's not much comparison.
As in copilot is much better than tabnine?
Re: Next-generation AI models
#30I use Tabnine completion in JetBrains CLion when I write Rust code. I’ve found it to be quite useful. Haven’t tried GitHub Copilot yet, so don’t know how Copilot compares to it.
I used Tabnine before GitHub Copilot and I never looked back. It feels a bit like upgrading from GPT2 to GPT3.