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!

Hi all, I'm hoping for some recommendations for where to start my ML learning. All of my experience is in Full Stack engineering with little to do with actually taking data to work with in general. If anyone has any resources that they think would be helpful I would very much appreciate it!

Hello Friends! I would like to know if anyone has tips on AI projects. I am pretty much fluent in Python so that is no problem. If you have any and would like to share, please leave a comment. Thank you!

Using profiles in VS Code can help keep things organized, especially for doing different kinds of work (web, data engineering, app development, etc.). There are also profile templates that can help you get a jumpstart for certain kinds of work. I recently used the Data Science Profile Template to set up a profile for doing work with Python and data projects. https://code.visualstudio.com/docs/editor/profiles#_data-science-profile-template I use Codeium instead of Copilot but otherwise kept everything else. What's nice is that it only loads the extensions I need for this kind of work like Jupyter Notebooks, Python, Black Formatter, etc., and not ones I don't e.g. Astro, React, MDX, Prettier, etc. 👏

It's super informative and useful! If you're an LLM application developer like me, you should definitely check it out! (It's over, but I believe you can still check out the recordings by signing up.) https://www.nvidia.com/en-us/events/llm-developer-day/ - The Fast Path to Developing With LLMs - Tailoring LLMs to Your Use Case - Large Language Models and Generative AI for Life Sciences - Reinventing the Complete Cybersecurity Stack With AI Language Models​ - Running Your Own LLM - EMEA: Technical Ask-the-Experts