Hugging Face's Cosmopedia Hopes To Reshape Pre-Training Data
Hugging Face introduces Cosmopedia, a synthetic data creation tool with diverse subjects and <1% duplicate content rate, revolutionizing dataset generation for AI models.
Meta Builds AI Model That Can Train Itself
Meta's 'Self-Taught Evaluator' strives to decrease human dependence in AI development through advanced, autonomous training methodologies.
MIT's New Robot Dog Learned to Walk and Climb in a Simulation Whipped Up by Generative AI
Researchers have successfully trained a robot dog using completely synthetic data, overcoming traditional challenges of data gathering for AI training.
The AI world's most valuable resource is running out, and it's scrambling to find an alternative: 'fake' data
The AI industry faces a data scarcity issue, leading to a growing interest in synthetic data as a potential solution.
Synthetic data for designers: what you need to know
Synthetic data will overtake real data in AI training by 2030, creating new design roles and shifting paradigms.
No physics? No problem. AI weather forecasting is already making huge strides.
Weather forecasting is being revolutionized by AI, using rich datasets like ERA5, leading to more accurate predictions.
Hugging Face's Cosmopedia Hopes To Reshape Pre-Training Data
Hugging Face introduces Cosmopedia, a synthetic data creation tool with diverse subjects and <1% duplicate content rate, revolutionizing dataset generation for AI models.
Meta Builds AI Model That Can Train Itself
Meta's 'Self-Taught Evaluator' strives to decrease human dependence in AI development through advanced, autonomous training methodologies.
MIT's New Robot Dog Learned to Walk and Climb in a Simulation Whipped Up by Generative AI
Researchers have successfully trained a robot dog using completely synthetic data, overcoming traditional challenges of data gathering for AI training.
The AI world's most valuable resource is running out, and it's scrambling to find an alternative: 'fake' data
The AI industry faces a data scarcity issue, leading to a growing interest in synthetic data as a potential solution.
Synthetic data for designers: what you need to know
Synthetic data will overtake real data in AI training by 2030, creating new design roles and shifting paradigms.
No physics? No problem. AI weather forecasting is already making huge strides.
Weather forecasting is being revolutionized by AI, using rich datasets like ERA5, leading to more accurate predictions.