NLP inside your database - Query OpenAI’s GPT-3 from directly inside your database

You’ve explored the power of GPT-3 & ChatGPT; now you can apply that power to your own data by bringing GPT-3 to your database with MindsDB, to deliver additional insights & value to your existing data. MindsDB is an Open-Source ML Platform for Developers

Add a comment

Replies

Best
I loved it!!!! Easy to use , I followed the openai tutorial and it blew my mind, also the ux its asesome!
Thanks for all the love and support.
Awesome, congratulations on the launch🎉
Thanks Shubham for the support.
Thank you!
Thanks a lot.
Congrats it is very easy to use, love UI!
Thanks Juanes!
Some months' technical challenges, like sentiment analysis, in the past, are solved now in a couple of minutes with your solution, and I like that! It can save time for chat/text moderation or finding issues. I noted to give it a try, it's promising! Congrats !
Thank you.
We would love to hear your feedback once you've tried it. Thanks for all the support.
This is one of the best evolutions of the Modern Data Stack. Run your ML on top of your data warehouse without building and maintaining complex data pipelines.
yeah! Simplifying the ML pipeline is one of the best ways to democratize it!
thank you! we agree!!!
We are glad to help our users in simplifying their data stack.
Wow! Great idea, definitely useful for me!
Thanks, Max, would love to hear about how you use MindsDB. Always LOVE hearing a new use case.
Thank you!
We would love if you could try the product and let us know what you think.
Looking forward to use this.
Feel free to join our community for discussions and support!
Great, thank you!
great. Thanks!
Do let us know about your experience.
Congratulations on the launch of MindsDB - I'm excited to see what insights and value it can bring to my existing data!
thank you!! join our community on slack, we would be looking forward to hear about your discoveries.
Thank you!
Thanks!
Thanks a lot. MindsDB community will always be there to help you in your ML journey.
Amazing product, amazing team, I see that there are some noSQL databases supported, any plans on integrating Google Firestore support on the product, do you have any sort of benchmarks for tabular data that show the performance of AutoML or the battery-included models?
We are constantly integrating and receiving contributions for new integrations, if you are a developer I encourage you to create an integration (or many!)
Hey David! Thanks for your kind words. Here's a sheet that compares the default AutoML engine with other alternatives via the OpenML AutoML benchmarking suite: . Hope it helps establish a rough idea on its performance! It's pretty old but we have a release procedure that helps us keep the accuracy, at the very least, so it should set a lower bound on what you should see for tabular regression and classification tasks.
THANK YOU! Firestore would be a great addition, lets chat about building one.
MindsDB is constantly working on new integrations. You can easily open a Feature Request asking for the same and can even try writing the integration yourself if you want to. MindsDB does provide performance benchmarks for their battery-included models, which are available on their website. These benchmarks show the accuracy and speed of their models on a variety of datasets and tasks. Additionally, MindsDB's AutoML capabilities allow users to train custom models that can outperform the battery-included models for specific use cases. Overall, it's important to keep in mind that the performance of MindsDB's models will depend on many factors, including the size and complexity of the data, the type of task, and the computational resources available.
Congrats on the launch!
Thanks for the support.
First
Previous
•••
345
•••
Next