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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.

Tools for developers: Unleash Machine Learning with Colab (Free!) Google Colab lets you explore machine learning without needing a fancy computer. It's free, cloud-based, and runs on powerful servers. Train complex models and analyze massive data

Did you know machine learning models can detect heart disease from sound signals with 95.65% accuracy? The technology driving this impressive result is Convolutional Neural Networks (CNN), which are powering advancements across various industries. C

Best Open Source LLM:Tencent Hunyuan-Large: The 389 Billion Parameter Model Outperforming Llama 3 and DeepSeek V2

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

🚀 Breaking News: Meta Unleashes Its Biggest Open-Source AI Model Yet – Llama 3.1 with 405 Billion Parameters!Meta has taken a giant leap forward in AI development by releasing Llama 3.1, their most powerful open-source AI model to date, boasting an

The future is in open-source AI. Those who mislead the ecosystem by comparing AI models to nuclear weapons, arguing that knowledge of how to create them should be restricted, are the biggest preachers of monopolies. This time, I support Meta. I supp

If you realize that you will start to think differently and new doors will open... You can build and create whatever you want, the only limit is your mind Source: Steve Jobs

🚨 Mira Murati, former OpenAI CTO to raise $100M for new AI startup The company will train proprietary models to build AI products. Barret Zoph from OpenAI is expected to join the company too. Source | Artificial intelligence 🤖

AI has grown rapidly through advancements in machine learning, increased computational power, and vast data availability. These factors enable AI systems to learn complex patterns, improve decision-making, and automate tasks across industries, from h