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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

Open source models on OpenAI are finally here Check it out:

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

GPT-OSS feels like the right move. Open source isn’t just about code access, it’s about freedom to build and truly own what you’re creating. With closed models, that’s always been limited. This opens up a lot. Feels like the start of something good

Two deepseek models invent a cryptic language only they can understand 👀 source: WesRothMoney on 𝕩

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

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

How can I get more involved with open source projects as a beginner?

# Face Swap The open source is better. But takes too much time. Like to get perfect iteration (swap). The average time it'll take is 50 hours. I will share the swap after completion. But overall the open-source is totally free and worth. Notice: re