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In India, Maybach models, like the S-Class and GLS, start at around ₹2.77 crore and can go up to ₹3.71 crore, depending on the specific variant and features.

India's AI Boom: Unveiling the Wrapper and the Real Deal India's AI startup scene is like a bustling marketplace. On the surface, it's brimming with innovation and promise. But beneath the buzz, a crucial question arises: are some companies simply re

🚀 Narayana Murthy Sparks Debate on India's AI Ambitions! 🇮🇳🤖 Infosys founder NR Narayana Murthy has questioned India's push to develop homegrown large language models (LLMs). He highlights key challenges like: 🔹 Lack of robust databases 📊 🔹

HerculesAI was working with large language models long before it was cool HerculesAI (formerly Zero Systems) has been working at automating professional services since 2017, originally concentrating on the legal industry. As part of that, it has act

In the ever-evolving AI landscape, a new player is making waves — Deepseek. While OpenAI, Google DeepMind, and Meta AI have been dominant forces, Deepseek is emerging as a formidable contender in the AI race.The recent buzz around Deepseek stems from

🚀 Running Deepseek R1 1.5B on Ollama – AI at My Fingertips! 🤖🔥 Just set up and tested the Deepseek R1 1.5B model using Ollama, and I’m impressed with how seamless the experience is! This model is an efficient and capable LLM, and running it local

Think if you are a SaaS company or AI-based startup and not sure about which AI model should be used for their specific use cases. As there are around 1M+ Models in Hugging Face itself, all come up with their unique strengths and weaknesses and integ

🔥 Introducing Mercury Coder – the world’s first diffusion-based language model! 🔥 Unlike traditional AI that predicts words one by one 👉 Mercury Coder starts with noise and gradually refines it into clear, coherent text. 💡 Developed by Inception

AI in 2025: A Game-Changer or Just Another Tool? Let's decode the future of artificial intelligence! Key Points: 1. Major Acquisitions: Big tech firms like Amazon (Anthropic), Meta (Mistral), and Google (Cohere) are reshaping the AI landscape. 2

For me (at least), Biggest hurdle in learning AI/ML is not that it is hard or involve lots of math but rather its tech development speed or rather we say its emerging speed. if you follow the AI tech world closely you will observe that there is new