Hey guys! Currently am in the process of building a math app for a science competition. I'll be using an LLM, which hopefully I'll be hosting on a free cloud service like Google cloud or hugging face. I'm aware that you can then connect these to your front end using API keys. I know what an API key is. The thing I don't understand is exactly how one would connect for example, a model of a transformer on hugging face, to an external Web app. According to what i can tell, I'll have to build the front end using gradio and the possibly hugging face's free API key or FastAPI(??? idk). How does SQL fit into this? Will I be dealing with any SQL directly? Can someone please guide me what to do here. Tysmm, ✨✨ Summary of questions: What API system will I use? What other modules or libraries will I need to use to ensure the API system is functional? What is SQL(its many versions) and do I need to deal with it? Is there any intermediary steps I am missing?

Bill Gates predicts that within the next decade, AI will replace many human roles, including doctors and teachers. He envisions a new era of "free intelligence," where AI provides ubiquitous, high-quality medical advice and tutoring. https://www.cnbc.com/2025/03/26/bill-gates-on-ai-humans-wont-be-needed-for-most-things.html Gates acknowledged the transformative and intimidating pace of AI advancements, but some experts argue it may lead to economic growth and new job opportunities.

Hey guys! Just seeing the current demographic of users on this site🚀 Who are you?

Hey guys! Here's a useful tools for complete AI beginners to get comfortable using and learning about AI. It covers simple topics like image recognition AI, chatbots and voice recognition AIs and you can build a small project alongside the course. You even get a free certification once you finish the course✨ https://www.netacad.com/launch?id=954212d3-54a4-46c2-a03c-7bfb16a7f157&tab=curriculum

(Not Just ‘Replies to Customers’) Most retail businesses think a chatbot is just a fancy FAQ machine. Wrong. A well-built AI chatbot can: ✅ Drive in-store visits by recommending products based on local trends ✅ Increase sales with personalized upsells & product suggestions ✅ Reduce lost customers by responding instantly (before they bounce) ✅ Automate appointments & orders for seamless customer experience The difference between a chatbot that makes money vs. one that just exists? Smart intent detection + real-time data + deep customer insights. 🔹 Example: A local clothing boutique uses an AI chatbot that: 👉 Tracks what’s trending in their city 👉 Suggests outfit ideas based on past purchases 👉 Alerts VIP customers about exclusive drops 💡 Retailers who treat AI like a strategic growth tool (not just automation) are the ones winning. If you were building a retail AI chatbot today, what would be your #1 feature? Let’s brainstorm in the comments! 👇