Sometimes I feel like these snakes when I try to get done some stuff on python 😂🐍🐍🐍🐍🐍 Good news is if pythons can do python, I can do it too!😂

I am new to DS/ML, but a former OOP SE, and still a geek. ML/AI is inspiring me to actually code again, because we're clearly on a new frontier that is exciting for me personally for my personal use. Avaiga, the company behind Taipy has made it crazy easy to create an NL interface to an LLM. Inspired by the YT video, and following the Github repo, I was chatting with Lilly, I preferred a woman's voice that was powered by Groq's Llama3-70b version, within a couple hours. And, running on an ancient laptop no less. Kudos to all the amazing software developers creating quality Open Source software. That was the easy part. Next to give it some RAG muscles. I might cheat for this, at least at first, and just use Command-R+ instead of Groq. With Cohere's product some basic RAG is just an API call. I am truly grateful to live during such an interesting and clearly pivotal time in history. 🙏🏾💖✨

Hey everyone, I just completed a new course for you: "Data Science Accelerator". This course will be unlocked, together with "Building Applications with LLMs" at level 3. How to level up? Just interact with the group, get likes and comments, and watch your level go up!

For anyone that's completely new to coding and you have no idea what you're doing or the intro to programming Kaggle course is too confusing for you, I recommend that you try sololearn just to get a hang of the terms and some of the basics then you can move to kaggle if you want. https://www.sololearn.com/en/

First of all, I'm so happy to be a part of this amazing community. Also I want to say that it turned out that Kaggle is super useful resource and I started "Machine learning intro" there as well. And the win ... I completed two courses on Kaggle: "Intro to programming" and "Python". Feeling good and exited to move forward!