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Found this amazing resource to find open-source alternatives to proprietary software. I recommend everyone to check it out. https://www.opensourcealternative.to/

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

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

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

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

My website is finally up and running. Well there are a few sections that doesn't work on mobile, but desktop surely does. Check it out at : keerth.vercel.app

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

Found a very interesting project on GitHub. It's basically perplexity but open-source. Really looking forward to the results catching up to the level perplexity is at. Do check it out https://github.com/developersdigest/llm-answer-engine

Out of all the startups and professionals here, how many are actively working on developing their own AI models? And how many are working on developing apps, tools or services based on existing AI models