After two years of building with GenAI, here’s what I wish I’d had from day one... This has been a long time in the making, and I’m excited to finally pull back the curtain on what we’ve been building behind the scenes: The GenAI Launchpad — officially launched on Product Hunt today! 🎉 For the past two years, my team and I at Datalumina have been deeply involved in the world of AI, building solutions with large language models (LLMs) for clients across industries. Each project taught us so much about what it takes to bring AI to life in practical, high-impact ways. But there was one recurring challenge... We spent way too much time setting up project structures, handling integrations, and putting out fires in the infrastructure — leaving less time for the real AI work, the work that brings ideas to life. Not only was setup eating into our time, but we also found that the agent frameworks on the market were just too optimistic. Real-world use cases are more complex and demand reliability and precision that many frameworks simply can’t deliver. So, we got to work! 👷🏼‍♂️ And after two years of trial and error, working with every system and structure you can imagine, we built our own solution. The GenAI Launchpad is the result of our journey — a project repository that streamlines everything from initial setup to deployment, ready to handle the demands of production at scale. And the time savings? ⏳ We’ve calculated that it saves us over 50 hours per project on average, so we can dive right into the creative work that actually advances AI. Today, we’re launching the GenAI Launchpad to share that time-saving power with you — our community of fellow AI enthusiasts and builders. This is more than just a repository; it’s a battle-tested, engineer-approved blueprint that I wish I’d had when we started. It’s here to help you skip the headaches, bypass the boilerplate, and focus on what matters: building innovative AI solutions for real-world problems. If you’ve ever spent weeks fighting project setup, only to finally reach the real work, then you’ll understand why I’m so excited to share this.

There are a lot of basics that has to be learn' t by each one of us not by being too busy but to also stick around and work together because we would not know what can happen at any time we can even turn out to be an organisation someday and i also make a toast to the founder of data alchemy for bringing everyone together this far 💯💯💯.

Founded in 1998, the Open Source Initiative (OSI) is a not-for-profit organization that defends the open source term. It is currently working on updating its definition to include open source AI. Open source generally means the software’s source code is available to everyone in the public domain to use, modify, and distribute. The real issue at hand here is the DATA that systems are being trained on. Most systems are not being transparent about it and not making their training data and methods available. https://www.euronews.com/next/2024/03/28/sorry-elon-grok-is-not-open-source-ai-heres-why-according-to-the-creator-of-the-definition

As an AI enthusiast that I am, some weeks ago I went to a talk about AI and its degree of intelligence and state of art, and since then I would like to share some concerns the conference left me with. The speaker was an AI specialist with around 40 years of experience on the field, so I'd trust him. One of the things that the speaker said was that the need of electricity AIs need is growing at huge rates and that is an environmental problem as solar, wind and other sources of green energy are not enough to power the growing amount of usage of AI. The other thing he said is that AI is not that intelligent yet and behind the curtain there are sweatshops and slave labour labelling data to allow AIs to perform. Speaking of concerns, he said that based on the actual power AIs have and their predictable development, future dystopian robots like terminator or robocop are ages away -if there will ever be- and that a rise-of-the-robots dystopian future is also out of reality. But about the first two, they are serious on my point of view and we should take into account and search for solutions to avoid building progress on oppression of the poor and the need, again. Have you ever thought about that? Does it concern you? Is there anybody aware of this and working on solutions?

It's my first year in college. I'm majoring in electronics but wanted to diversify and explore. Found out about this community through youtube and thought I should give this a try. Don't really have any prior knowledge other than python. Excited to grow each day :)