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Meta AI just raised the bar again—introducing Llama 4, their most powerful, multimodal open-weight model yet. 🚀

In this episode of the Colaberry AI Podcast, we explore the capabilities and implications of the Llama 4 model family—including Llama 4 Scout, Maverick, and the upcoming Behemoth model.

Here’s what we unpack:
 🧠 What “natively multimodal” actually means for developers and users
 🔍 The power behind Mixture-of-Experts architecture & longer context windows
 🛠️ Why Scout & Maverick are already changing how we think about open AI models
 🧬 How Meta is balancing innovation with responsible AI safety
🌐 And why open access matters more than ever in the AI race

Whether you're a data scientist, researcher, or just curious about the next frontier of AI—this one’s for you.

🔗 Reference Link:
Meta AI – Llama 4: Multimodal Intelligence

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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
We encourage listeners to cross-verify the information before drawing conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.

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