New 2 Trillion Parameter AI Model Shocks The World (Meta's Llama 4 Behemoth)

Meta just unveiled the Llama 4 AI model lineup, including Scout and Maverick, with open weights and massive capabilities like ten million token context windows and advanced multimodal processing. The most powerful model, Llama 4 Behemoth, is still in training with two trillion parameters and is expected to rival or surpass GPT-4. These models mark a major leap in open-source AI, offering powerful performance, lower costs, and broad accessibility for developers and researchers.

???? Key Topics:
- Meta unveils the Llama 4 AI model lineup, including Scout, Maverick, and Behemoth
- Scout supports up to ten million tokens and runs on a single Nvidia H100 GPU
- Maverick uses a mixture-of-experts architecture to match GPT-4 performance with lower compute

???? What You’ll Learn:
- How Llama 4 Scout and Maverick push the limits of context size, speed, and multimodality
- Why Llama 4 Behemoth, with two trillion parameters, could surpass GPT-4 and Claude
- What makes these open-weight models a major leap forward for open-source AI development

???? Why It Matters:
This video explores how Meta's Llama 4 models are reshaping the AI landscape with extreme scalability, reduced costs, and competitive performance, marking a turning point in the race for next-gen language models.

DISCLAIMER:
This video highlights recent breakthroughs in large language models, focusing on Meta’s Llama 4 series and its impact on the future of open-source AI.

#Llama4 #Meta #AI