"Meta’s new Llama 3.2 model, available in 11-billion and 90-billion parameter variants, can process images and text. It understands charts, captions images, and locates objects from natural language prompts."

Meta has launched its latest AI model, Llama 3.2, marking a significant step in the open-source AI space. This release introduces models with both image and text processing abilities, following two months after their last major AI update.

Llama 3.2 comes in several variants, including 11-billion and 90-billion parameter models that are designed for advanced visual tasks. These vision models can read charts, caption images, and identify objects using natural language commands. The larger, 90-billion parameter model is even more advanced, capable of extracting details from images to create precise captions. For developers looking for AI solutions that handle text, there are also smaller models with 1-billion and 3-billion parameters, designed to work efficiently on mobile devices and edge hardware.

These models are particularly useful for developers creating AI-powered applications, such as augmented reality apps that can understand videos in real-time, visual search engines, and document analysis tools. The text-only models are optimized for devices running on Qualcomm and MediaTek hardware, enabling features like summarizing conversations, scheduling meetings, and building personalized AI apps.

Although Meta is still catching up with competitors like Anthropic and OpenAI in the multimodal AI space, Llama 3.2 offers strong competition. Meta claims that Llama 3.2 performs better than Gemma and Phi 3.5-mini in tasks such as rewriting prompts, following instructions, and summarizing content.

This new release reinforces Meta’s commitment to pushing forward in AI development, providing versatile tools for developers to build next-gen AI applications.

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