340 - Comparing Top Large Language Models for Python Code Generation

[@DigitalSreeni]

For those who aren't patient enough to watch the whole 38-minute video, you can jump to the last 10 minutes where I tweaked my original prompt to use deep learning for segmentation and ran the experiment again.

[@ashwini_ji]

very informative video sir thank u very much

[@user-maomao-tsai]

Thanks for the great video!

[@regalx1]

I'm not good at coding, but I definitely did fall down that rabbit hole of going back between chat GPT for hours trying to figure out why a block of code wasn't working. That's why I feel like Claude is a bit better in that it's better at fixing it's own coding errors than chat GPT.

[@DigitalSreeni]

Thanks for sharing your experience. I got better luck generating code with Chat GPT and then troubleshooting with Claude.

[@kiit8337]

Can i leave some of your videos especially biomedical application..while following whole playlist ?any suggestions

[@wertzaky29]

37:14 is the conclusion. Ur welcome

[@АлексейБуйный-е4ж]

awesome - thank you

[@tilkesh]

Thank you very much.

[@tektronix475]

prety useful, thanks!

[@kiit8337]

Hey digiisreeniiii❤...do u think being a freshman in a collg i can study this whole playlist one by one want to learn ML 😊plz reply if u see it thnaks

[@DigitalSreeni]

I heard from high schoolers who went through my exercises one by one. So a college freshman should be able to easily work through them.