BrandonJung

One of the team here at Tabnine. Thank you for choosing us and please let us know if we can help.

interesting point

thank you you are right, I did comment in the above threads I am with Tabnine but can always do that better.

I am biased but the update Tabnine made in the last 6 months are very interesting.

Tabnine can train on your codebase for you AND your team. It is secure then to only you and the team you add.

Tabnine has been doing this for years longer than copilot with more users and better ratings. Not a monopoly (except that MSFT has so much marketing clout). The LLM space that we build on has gotten much more diverse after MSFT bought OpenAI and closed collaboration for many industry participants including ourselves. (We used to run on GPT2 but changed to an agnostic strategy that can use any LLM when MSFT would not let us use GPT3) Take a look at the new innovation with T5 from SFDC, AI21, Google, Meta all building powerful models. Transparently we need your help in ensuring that this is not a monopoly.

Yes we at Tabnine have been at this for 7+ years and we believe that this is the current best solution. Only train on fully permissive code and then specialize those models privately for each team/org/org.

Does this change if the AI only uses fully permissive code? We took that approach at Tabnine and would be interested if the communities primary concern is disregard of licensing or the use of AI at all.

It looks like you used Tabnine local only model in the past (awesome for security, connectivity) if you used it in "cloud only" mode you would see much lower CPU and get longer snippets and completions. If you are with a company we are also happy to build and run all of this with custom models and in your own VPC or datacenter. Please contact us if you are interested and happy if you are also just an IC to get you Tabnine Pro. Disclosure: I am from Tabnine.

love the speed you are moving!

Clarification - a user can run Tabnine on their laptop only OR as a part of Tabnine Enterprise we can run the large cloud models in your VPC (on GPU's) for your entire team of developers. Your code is your code and you can run it anywhere.

If you would like a custom model on your code (or language) this is one of the unique capabilities of Tabnine. We have done this on lots of code already and do it all the time for companies across the globe. Your code is your code. Transparently I am with Tabnine.

Good feedback and thank you for taking the time to share

Ballpark guess is that to build CODEX it would be ~$10M.

A model is only as god as the code that it trains on and the people it learns from. In your example above we can build a custom model on "best practices" code and not the companies codebase. Our work here has focused on working with ISV's like AWS, GCP, etc as they will have best practices for their tech. We then pull that together for a team in a custom model.