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I have a question about AI and ML, specifically regarding ML. It's a simple question but somewhat difficult. The question is, if there are three lines (a to b, c to d, and e to f), how would you train a machine learning model to figure out which one

🚀 3-Day AI/ML Masterclass – Build Your First AI Project! 🚀 (Mid-May | Online) ✨ Top performers will get a chance to be hired 🎓 Participation certificate for all attendees 📍 Day 1: Python + Data Insights 📍 Day 2: Train Your First ML Model 📍 Da

🚀 3-Day AI/ML Masterclass – Build Your First AI Project! 🚀 (Mid-May | Online) ✨ Top performers will get a chance to be hired 🎓 Participation certificate for all attendees 📍 Day 1: Python + Data Insights 📍 Day 2: Train Your First ML Model 📍 Da

Hiring AI/ML Engineer 🚀 Join us to shape the future of AI. Work hands-on with LLMs, transformers, and cutting-edge architectures. Drive breakthroughs in model training, fine-tuning, and deployment that directly influence product and research outcom

any ai ml scientist here?, i wanna validate an idea of a platform that offers gpu renting, how this will work is:- there's a person A who has a heavy duty and strong pc and he does a lot of gaming on it but his pc remains ideal for 8 hours. and there

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing

I recently used Gemma 3 and it's groundbreaking Gemma 3 is Google’s super light open-weight AI model that’s free to use for building apps, including commercial ones. It is multimodal , runs efficiently on laptops or even mobile devices, and allows

The AI Era Isn’t Coming — It’s Already Here! While others are still debating AI’s future, our clients are already building it with Opslify. From smart web apps that automate 80% of operations to custom AI tools that skyrocket sales, we’re turning “w

𝗔𝗜 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝗰𝗮𝗻’𝘁 𝘀𝘂𝗿𝘃𝗶𝘃𝗲 𝗼𝗻 𝘁𝗵𝗲 𝗼𝗹𝗱 𝗦𝗮𝗮𝗦 𝗽𝗿𝗶𝗰𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹. Why? Because AI costs aren’t fixed. Things like: GPU time API calls Token processing Video rendering ...all get more expensive as users do

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