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Next-generation AI models

tabnine.com

91–100 of 139 posts

Re: Next-generation AI models

#91
post #78

Earlier quoted context omitted.

Hi, Tabnine's DevRel here. I'm glad to say that we have addressed this issue: You can now easily opt-in to encrypted cloud mode through the Tabnine hub (find it under Public Model section). This option takes off most of the computing resources used to run Tabnine. That's just one out of many other improvements we've been working on lately, that are now generally available. I hope you'll give it another go! :)

Even after I enabled cloud model just today, the local binaries are still taking a lot of CPU resources in bursts of say once every four seconds, I have the latest versions of both the tabnine extension and vscode.

feel free to turn off local completely. The bursts you are seeing is building a local transformer model on your computer. For enterprises and developers that dont want their data to go anywhere this is critical but does come with tradeoffs. We continue to make this better or feel free to use with GitPod (https://www.gitpod.io/blog/tabnine)

Re: Next-generation AI models

#92
post #7

Whenever I encounter tabnine pages in search results- most commonly for Java Spring stuff- and click through, I regret it. The code snippets are never useful and the ads/popups are offensive. Baeldung resources are infinitely better.

Yeah, I was trying to find a polite way of pointing out that even their screen capture showing how "awesome" the completion is is almost guaranteed to be wrong File fileName = is off to a bad start, but finishing it with File fileName = new File(path); is going to get a finger-wag from me when it makes it to PR because it's a very bad variable name

no need to worry we love good feedback here at Tabnine ;-) Your observations are appreciated. In this case we are using general code and not a custom model but if you would like a custom model then I would wager you would get better variable names... maybe even "awesome". Our goal with our customers is to build models based on the best custom code and input from the best developers so that your new devs can learn from YOUR CODE and with YOUR BEST PRACTICES.

Re: Next-generation AI models

#93
post #90

What's up with this? The title is editorialized as advertisement against a competing product and the content of the link is essentially advertisement too. It was posted by the VP of Business Development of Tabnine. Is this really organically ending up on the front page or are some bot/vote rings in control? @dang shouldn't the title at least be changed to "Announcing our Next-generation AI models"?

my guess given that I do not have significant karma points is that this is a subject that millions of devs are trying to understand more deeply (a million plus for both Tabnine and Copilot). There are two competitors with significantly different takes on how we solve this problem both technically and securely.

Re: Next-generation AI models

#94
post #89

I used TabNine for years, if I recall correctly it was developed by a Waterloo (Ontario - Canada) student and bought by an Israeli company. Once they changed their EULA my security aware company was like can't use that anymore. I provided that feedback to them but I guess I was the only one raising eyebrows. My suggestion is just lower your price to match Copilot, so it's easy on the user deciding between both of you…

Would you be willing to share your concerns about the EULA? The pricing question is something we are currently discussing as you can imagine. It is surprising that our EULA was a problem but GitHub's was ok given they collect your information for training.

Re: Next-generation AI models

#95
post #27

Earlier quoted context omitted.

Seconded. Tabnine's suggestions were way worse than IntelliJ's suggestions. It was very annoying. Uninstalled it after a giving it a good try.

I uninstalled T9 for this reason: bad suggestions superseding the regular autocomplete, this is just not good. I have yet to compare to copilot.

please take a look at inline suggestions that will be in grey and not in the regular autocomplete box. It is now the default setup.

Re: Next-generation AI models

#96
post #79
post #64

Earlier quoted context omitted.

Great, you are the best, super cool! Go eat an apple

I'm just describing what all programmers have done since the beginning of time

You don't see how you just shot yourself in the foot, do you?

If nothing else the HN mantra is not "That's how we've always done it."

Re: Next-generation AI models

#97
This is really interesting, $12 a month are a good price IMO.

Is it possible to use TabNine without using the random executable from https://update.tabnine.com/3.2.28/x86_64-unknown-linux-musl/... (Or is there the source available?)

Are there any instructions on to make it work with any other editor (GNOME-Builder in my case)? Is there Vala support?

Edit: Found this: https://github.com/codota/TabNine/blob/master/HowToWriteACli...

Re: Next-generation AI models

#98

I feel for TabNine. What they're doing is impactful, impressive - and so eclipsed by an unreasonably well-resourced competitor that they don't even get given much credit. "Not as good as CoPilot" really doesn't say enough about something that's still very impressive. Personally I thought it was cool but not game-changing, and moved on when I got into CoPilot. I can't comment on the next-gen models.

I think it's mostly about having deeper pockets than being clever or original when it comes to A.I. (though these guys just got $15m fwiw). But this is one thing that worries me about A.I speaking as an indiehacker. Being scrappy won't soon cut it anymore. Right now you can bootstrap a solid product for $15K, at least a MVP. Soon with the amount of GPU and other resources required to train these models you'll need a…

Cost wise the biggest spend is building the large model (CODEX for Copilot). While CODEX is close sourced there are a number of other good open source transformer models from SFDC (T5), AI21, Meta that are the foundational models we use. Going forward we will continue to partner with the community to enable these large models to reach developers in code-time.

Re: Next-generation AI models

#99

I 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/

My experience with Tabnine was that I loved it when it came out. I loved the fact that I could get full line suggestions without any extra language specific setup (I hop around different languages a lot) but the suggestions became less and less useful over time. In my view this was a degradation of Tabnine but of course I have nothing to back this up. Hearing this backstory does reaffirm my suspicion.

At some point I started using Language Server (mostly Typescript and Python) suggestions alongside Tabnine and it started to feel like it was just getting in the way. In the end I got rid of Tabnine. I haven't tried Co-Pilot yet but may give it a go when I find some time.

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