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New chatgpt alternative especially trailored for native Indian languages... "Made in india for the world" and the key focus is to introduce mass indian populace to the concept of LLMs...

"Ola's founder Bhavish Aggarwal announced that he would invest $230 million into Krutrim, the AI startup he created in a push for Indian LLMs." Can Krutrim AI be the first mainstream Indian AI service? And can it be a direct competitor of Deepseek?

Can anyone name the LLMs like GPT-4 developed by Indian firms, which are deployed commerically by businesses?

A very overhyped and pointless LLM By THE Tech Mahindra - India's AI LLM Indus 📉 Firstly understand few things: Large Language Model, is a type of artificial intelligence model designed to understand, process, and generate human-like text, they

what is the best app to lear indian languages, ?

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs

🚀 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 📊 🔹

3B LLM outperforms 405B LLM 🤯 Similarly, a 7B LLM outperforms OpenAI o1 & DeepSeek-R1 🤯 🤯 LLM: llama 3 Datasets: MATH-500 & AIME-2024 This has done on research with compute optimal Test-Time Scaling (TTS). Recently, OpenAI o1 shows that Test-

OpenAI spent millions if not billions developing and training LLMs. Same is for Google, Microsoft and Meta.. the only difference being they are releasing their LLMs now after the craze of AI is at its peak. But I don't understand how companies like K

I am thinking about an AI model with multiple languages support especially devnagari script languages , we are planning to build an RAG to parse a document and provide the data to the LLM , is this idea feasible and useful suggestions are welcomed