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this is why open source wins. closed models are only gonna get more restrictive over time.

Bhavish Aggarwal’s AI startup, Krutrim AI, has begun hosting Chinese GenAI company DeepSeek’s open-source models on its cloud platform. Five models, ranging from 8 billion to 70 billion tokens, are now live on Indian servers at the world’s lowest p

While 🇨🇳 Chinese AI labs are out here dropping free open-source models like candy, 🇺🇸 U.S. labs are busy cranking up subscription prices ☹️ Anthropic is now testing new plans like “Claude Max” that go up to $249/month — wild. And let’s not forg

Meta, formerly Facebook, has unveiled two new open-source AI models called Llama 3 8B and Llama 3 70B, with 8 billion and 70 billion parameters respectively. 🚀 These models outperform some rivals and spark debate over open versus closed source AI de

Tools for machine learning: TensorFlow: Powering Machine Learning What it is:TensorFlow is an open-source platform for building machine learning models. Key benefits: Flexible: Build various models, from simple to complex. Scalable:Handles lar

So 🇮🇳's IT minister said, "We will soon host DeepSeek on Indian servers. It is an open-source model like LLama. Data privacy issues regarding DeepSeek can be addressed by hosting open source models on Indian servers," says Ashwini Vaishnaw. it has

For all the developers and IT people out there, here is a website containing a lot of handy tools, completely free and open source: https://it-tools.vansh.one

Here are some AI tools which are useful for the startups: 1. TensorFlow and PyTorch: Open-source frameworks for building machine learning models. 2. IBM Watson: Offers AI tools and services like natural language understanding and computer vision.

if your startup is tech based (.com) and there not consisting initial free services then it would be die sooner. Zepto/Zomato/Swiggy : 1st delivery are free OTT Platform: Free Trial Consultation Apps : 1st Consultation are free Matchmaking Apps

The Next AI Battleground? Open-Source LLMs Are Gaining Fast GPT-4 may still lead the pack — but the real action is now in open-source LLMs, and the gap is closing *faster than anyone expected In just 3 months: - Mistral’s Mixtral matched GPT-3.5 on