Multimodal

AI Isn’t Just About Words Anymore! Remember when AI generating text or images felt like magic? That was just the beginning! We’re entering the era of Multimodal AI, and it’s about to change everything. What is Multimodal AI? Think about how you understand the world. You see, hear, and read, combining all that information seamlessly. Multimodal AI aims to do the same. It’s about building AI systems that don’t just stick to one lane (like text or images or audio) but can understand, process, and even create content across all these formats at the same time. ...

Meta AI has unveiled Llama 4, marking a significant advancement in artificial intelligence, particularly in large language models (LLMs). Officially released on April 5, 2025, Llama 4 promises to redefine human-AI interaction through its powerful multimodal features, processing both text and images seamlessly. This post provides a detailed examination of Llama 4, covering its release, architecture, performance, and potential applications. Release and Context The release of Llama 4 positions it as a timely advancement in the AI domain, following predecessors like Llama 2 and Llama 3. It appears to be a family of models, with initial releases including Llama 4 Scout and Llama 4 Maverick. A larger model, Llama 4 Behemoth, is still in training, suggesting a phased rollout to optimize performance. Behemoth is anticipated to have approximately 2 trillion total parameters. ...