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Introducing: The GenAI Launchpad 🚀
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.
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New comment 4h ago
Introducing: The GenAI Launchpad 🚀
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Welcome to Data Alchemy - Start Here
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!
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New comment 16h ago
Welcome to Data Alchemy - Start Here
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Unlock New Courses at Level 3
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!
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New comment 15h ago
Unlock New Courses at Level 3
Passed: AWS Certified AI Practitioner Early Adopter
I am not sure if I shared this here but I figured I would share again. I passed the AWS AI Beta Practitioner exam, if you are looking at this exam I definitely recommend reading my article https://www.linkedin.com/pulse/reflections-aws-beta-ai-practitioner-exam-unexpected-technical-artis-shuue/?trackingId=amh6bvluQveqltk6fTXMwQ%3D%3D
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New comment 33m ago
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
This paper on Arxiv and Liquid Neural Nets are evidence of how inefficient the current Transformer architectures for NN are. Assuming nothing catastrophic happens, we are just at very beginning of building not only AGI, but efficient AGI. Does doubling the power consumption of the US of A to run inefficient models of AI even make sense? (Just thoughts rambling through my brain. :) Interestingly this paper, "The Geometry of Concepts: Sparse Autoencoder Feature Structure," shows that there is real structure to the formation and location of NN patterns in computational NNs based simply on the mathematics. And, that although different, these structures have parallels in biological brains.
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