Codespell.ai vs. Kortical

Any project development or optimisation scenarios

Kortical is really widely applicable to many use cases, although it doesn't handle images or video it is great to help you build really great ML models without needing to plan ahead what you are going to try, you let the platform build you the best model. It is suited to beginner and more advanced data scientists as you can edit the code to narrow the search space which makes model creation more you build it without AutoML. Hosting the model behind an API that is ready to go is great as it saves so much time vs doing that dev work from scratch

• Codespell.ai explains code with simplicity
• Codespell.ai gives function documentation
• Codespell.ai reads the current file and responses based on the type/tech of the file

• The NLP models results were much better than the ones that we did outside of the platform.
• It is really easy and quick to build a good model with a lot of the manual boring tasks all done automatically like one hot encoding, etc.
• Kortical shows the features and their importance for any model type as part of the platform which is great for understanding the models.

• From my experience, I noticed a couple of areas that could be improved. For instance, if we make a small mistake while the response is generating, it would be helpful to have an option to pause or stop it midway, similar to ChatGPT
• Second, sometimes while explaining or giving alternate/better solutions, it ends up writing the same code as its reading from the current file.

• It would be ideal to have Jupyter built into the platform, they say it is coming.
• Also while it is easy to use, at the start it would have been helpful to have more help guides.

Easy to integrate and response almost don't need manual changes

Easy to integrate and easy to implement

Its ease of use and flexibility across documentation, code understanding

Their support is great as we use Slack and we have our own channel and they always respond really quickly. Data Science support is available to help unblock you as well as dev support as we're setting up the data feeds. It would be great if there were more FAQ or self-help guides in the platform but the personal touch is also really appreciated and probably gets us there quicker anyway.

I attended the training

Details in response is in full details

• Writing code time has reduced.
• Different technologies have different coding standards, and it manages them.

• ROI is great as what we would spend on compute we get the AutoML for essentially the same price so it is cost neutral as Kortical comes with compute built-in.
• The results mean that we can automate so much more than our previous model so that is key to the positive ROI.
• The platform auto trains new models and lets us know when there is a better model so it has saved a lot of time so we can focus on new business problems to solve with ML.