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Data Alchemy

38k members • Free

Yomi Denzel | Formations

15.9k members • Free

14 contributions to Data Alchemy
Sam Altman’s AI Predictions (shared 24 hours ago):
🔹 2025: The rise of AI agents 🔹 2026: A major scientific breakthrough driven by large language models 🔹 2027: A turning point for humanoid robots 📺 Source: https://youtu.be/ctcMA6chfDY?si=7gM5rCFLlcsMV0QJ If you found this helpful, a like would mean a lot — it helps me reach Level 3. Thanks!
2 likes • May 13
@Felipe Checa What stood out to me the most in the video is that OpenAI is clearly placing a lot of emphasis on two major areas: voice and coding. They seem to believe that voice is the future of interaction with large language models—more natural, intuitive, and frictionless than traditional text interfaces. At the same time, they view coding as the most powerful and expressive way to leverage LLMs, far beyond just generating or understanding text. That dual focus is quite telling about where things are headed. As for the speed of these advancements, it’s always tough to predict with emerging technologies. That said, given the massive investments being poured into this field and the already impressive results we've seen, I think progress will remain very strong over the next five years. Personally, I’m quite optimistic.
Just Discovered Quatization - Might Help You Too
I wanted to apply what I'm learning in the "Building Applications with LLMs" course without worrying too much about costs, so I started running models locally using Ollama. Since I'm just prototyping, I dont need top-tier models, Ill save those for production (one day). My setup isn't the fastest, so things were a bit slow at first, but learning about quantization really helped me improve performance. Hopefully this helps others in a similar situation. This video explained it well for me for starters, maybe for you too.
2 likes • May 13
Thanks for sharing @Edu Bergmann !
Journey to GenAI Launchpad #3 🚀
I’ve just hit Level 3 with 20 points ✅! This unlocks Building Applications with LLM and the Data Science Accelerator 📊. Big thanks to everyone supporting me 🙏. Excited for what’s next! 🌟 Post 1: https://www.skool.com/data-alchemy/journey-to-genai-launchpad?p=2a824e8e Post 2: https://www.skool.com/data-alchemy/journey-to-genai-launchpad-update-part-2?p=bd6e1cd4
3 likes • May 13
Congrats @Mehul Arora !
Cursor vs Windsurf vs VS Code & Github Copilot
I'm on the Alchemy Codex course and have setup VS Code with Github copilot (free version) and just made it to the Cursor overview video - my question is, for a relative beginner that has only recently started using VS Code, is it better to jump straight into using an AI IDE such as Cursor or Windsurf? I'm happy to pay for premium versions of these tools to accelerate my progress, but wondering if they are really a huge step above using VS Code and Github copilot as I've found copilot to be very useful in my journey so far. Thank you in advance!
0 likes • May 13
Cursor is way better for me
Kaggle Pandas course done!
Just finished the Pandas course on Kaggle, and I have a thought I want to share and hear your opinion on it: Back in a day, when learning a new programming language or a new library, I was making notes to keep all the functionalities, functions, methods in one place for reference. But now, I'm doing this courses just to know WHAT I can do with this tools, and just to have an idea HOW. Because about HOW, I can always ask ChatGPT. It saves time and frustration. What do you think about this approach?
3 likes • May 13
Congrats !
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Martin Combret
3
32points to level up
@martin-combret-1198
Medical student and entrepreneur

Active 204d ago
Joined May 3, 2025
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