Meta's 3D Gen also supports physically-based rendering (PBR), ensuring that the generated models are ready for real-world applications such as gaming and virtual reality.

By merging speech and text translation in a single system, SeamlessM4T improves translation efficiency, accuracy, and quality. Released under a research license, this model empowers AI researchers and translators.

Code Llama comes in three variations: the foundational Code Llama model, Code Llama-Python specialized for Python, and Code Llama-Instruct fine-tuned for comprehending natural language instructions.

Meta trained MusicGen on 20,000 hours of music, including 10,000 high-quality licensed tracks and 390,000 instrumental-only tracks from media libraries such as ShutterStock and Pond5.

The model analyses a text query and outputs 16 frames of video at a resolution of 64 by 64 pixels which are then boosted using a separate AI model to 768 by 768 pixels. Despite these limitations, Meta says that the resulting videos will become much better in the future.

The AI Research SuperCluster (RSC) computer will help researchers create better AI models, which will be able to learn from trillions of examples, work with hundreds of various languages and seamlessly analyze images, videos, and text.