The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!

https://artificialanalysis.ai/

Programmatic prompting with constrained LLM output. Open Souce. "LMQL is a programming language for large language models (LLMs) based on a superset of Python. LMQL offers a novel way of interweaving traditional programming with the ability to call LLMs in your code. It goes beyond traditional templating languages by integrating LLM interaction natively at the level of your program code." https://github.com/eth-sri/lmql

This is a great video on a systematic approach to comparing model performance. https://www.youtube.com/watch?v=VC6QCEXERpU

So far 16 lessons... This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems. https://github.com/NirDiamant/GenAI_Agents