Hey all! It's been a while since you've heard from me! Q1 has been crazy busy for me working on all the projects going on behind the scenes at Datalumina. I've only been able to get out a few videos. But I have another one prepared for you which is now live! This is an exciting one and I couldn't simply ignore... It's about Anthropic's Model Context Protocol (MCP) When I first encountered MCP in November 2024, I was skeptical. Another framework in the already crowded AI ecosystem? Another tool to add to the ever-growing list of technologies to learn? But then something interesting happened. As I dug deeper into MCP, I realized it wasn't just another framework—it was a fundamental protocol that could standardize how AI systems interact with the world around them. The adoption rate has been nothing short of remarkable. Looking at GitHub star history, MCP is on track to overtake all other AI frameworks in the next few months. I've just released a complete crash course for Python developers that covers everything from setting up MCP servers to production deployment. Whether you're building AI agents, chatbots, or other LLM-powered applications, MCP can simplify your development process. I'd love to hear your thoughts on MCP and how you're planning to use it in your projects! Keep coding, Dave P.S. I'm excited to announce that enrollment for the next cohort of our GenAI Accelerator is now open! Starting May 25th, this 6-week program will transform you into a production-ready AI engineer with hands-on training in LLMs, RAG, and our battle-tested GenAI Launchpad framework. Spots are limited, so check it out here: ​GenAI Accelerator Details​

Hi everyone final got to level 3 let’s go!!

https://chatgpt.com/g/g-FxvE2skKK-comic-retro-art 👽Retro Comic Style Artwork Generator. This GPT specializes in🤢 creating retro comic-style artwork, with a primary focus on highly detailed James Bond comic book covers

OpenAI just dropped a major update: the Responses API. Whenever OpenAI releases something like this, it changes the game for developers, forcing us to rethink how we build AI applications. In this week’s video, I break down exactly what this API does, what’s changing, and whether you should migrate your projects. Key updates: - It’s a superset of the Chat Completions API (meaning it does everything Chat Completions did—plus more). - New built-in tools: Web search, file search, and computer use. - Simplified API calls, but also more abstraction—which can be both good and bad. If you’re serious about staying ahead in AI development, you’ll want to watch this. Check out the full breakdown here

I need three more points to level 4 let’s go