I'm super inspired by everything going on here and just getting started with Data Alchemy. What really excites me is hearing about real transformations—has anyone here started completely from scratch with data and AI, went all-in with the program, and is now working as a freelancer or landed a great job because of it? Would love to hear your journey—what worked, what was challenging, and where you are now. Those stories are the ultimate motivation! 🚀

A few years ago, in a course about privacy and data management, they told us about that site (https://prism-break.org/en/) where there are a bunch of alternatives to big tech companies that tend to concentrate in groups and base their business model on data trade rather than privacy. Now that I'm thinking a bit more about it, I'm starting to consider some of the alternatives mentioned there. I'd like to hear your thoughts. Have you ever considered alternatives to the mainstream options? Did you ever tried any? How was your experience?

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!

This post helps you understand how to build AI agents with Google Gemini models using popular open-source frameworks, including LangGraph, CrewAI, LlamaIndex, or Composio. We touch upon how each framework leverages their strengths for different scenarios. https://developers.googleblog.com/en/building-agents-google-gemini-open-source-frameworks/

Post-training is where the magic happens... 😉 " Large Language Models (LLMs) have transformed the natural language processing landscape and brought to life diverse applications. Pretraining on vast web-scale data has laid the foundation for these models, yet the research community is now increasingly shifting focus toward post-training techniques to achieve further breakthroughs. While pretraining provides a broad linguistic foundation, post-training methods enable LLMs to refine their knowledge, improve reasoning, enhance factual accuracy, and align more effectively with user intents and ethical considerations. Fine-tuning, reinforcement learning, and test-time scaling have emerged as critical strategies for optimizing LLMs performance, ensuring robustness, and improving adaptability across various real-world tasks. This survey provides a systematic exploration of post-training methodologies, analyzing their role in refining LLMs beyond pretraining, addressing key challenges such as catastrophic forgetting, reward hacking, and inference-time trade-offs. We highlight emerging directions in model alignment, scalable adaptation, and inference-time reasoning, and outline future research directions. We also provide a public repository to continually track developments in this fast-evolving field. " https://arxiv.org/abs/2502.21321 https://github.com/mbzuai-oryx/Awesome-LLM-Post-training