"Me: Let’s train this ML model!
CPU: 🚶♂️... I'll get there... eventually.
GPU: 🏎️ Already done, bro!
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Sunil B
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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
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Ved DIXIT
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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
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Aryan patil
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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
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sawan kumar
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Dear Sir, I am starting a fintech startup. I already have LOS and LMS and I need funding support. We are thinking of providing personal loan and consumer loan. We are speaking clearly. We do not work on DSA model. We do not give any loan file to the
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Pulakit Bararia
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AI shouldn’t be a luxury—it should run anywhere, even on low-powered devices, without costly hardware or cloud dependency.
Companies like TinyML, Edge Impulse, LM Studio, Mistral AI, Llama (Meta), and Ollama are already making AI lighter, faster, a
3B LLM outperforms 405B LLM 🤯
Similarly, a 7B LLM outperforms OpenAI o1 & DeepSeek-R1 🤯 🤯
LLM: llama 3
Datasets: MATH-500 & AIME-2024
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SamCtrlPlusAltMan
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In just one week, the quick commerce scene has exploded! Blinkit launched Bistro, promising food delivery in 10 minutes, while Zepto is spinning off Zepto Cafe into its own app. Talk about speed!
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deepak invester
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I’m excited to share that my startup, [Heco], has successfully produced 1,000 units of our innovative [Bamboo brush ]. The market response has been amazing, and now, we are ready to scale production to 30,000 units to meet growing demand.
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