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
📲 Listen to More Episodes at:
https://colaberry.ai/podcast
📣 Follow Us for the Latest in AI & Innovation:
🔹 LinkedIn: Colaberry
🔹 X (Twitter): @ColaberryInc
🔹 YouTube: Colaberry Channel
🎙 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.
🚀 Tune in, learn, and be part of the AI revolution!
Share this post