At the AI for Good Summit, Meta’s Yann LeCun made a passionate case for open A.I. as both a safer and more strategic global ...

EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure. Trained on the Alps ...

No one knows what tomorrow's job market will look like, but people with AI and open-source skills will do far better than those without them.

Meta's chief AI scientist, Yann LeCun, says open-source AI should fall under international regulation.

Nvidia said it is racing ahead with humanoid robotics technology, providing a custom foundation model for humanoid reasoning, a blueprint for generating synthetic motion data, and more Blackwell ...

This effectively halves the model’s bulk. Prover V1 is based on the seven-billion-parameter DeepSeekMath model and was fine-tuned on synthetic data.

A hybrid approach—combining synthetic and real data—can create robust, generalizable and ethical AI models.

Safety, privacy and practical limitations can restrict the amount and quality of data that an AI can be trained with. This is where synthetic data steps in to open up new opportunities.

Gretel fine-tunes existing open-source models to add differential privacy and safety features. Synthetic data is non-human-created data which mimics real-world data.

Nvidia has acquired synthetic data startup Gretel to bolster the AI training data used by the chip maker's customers and developers.