Generative AI models aren't born out of a vacuum. In a sense, these systems are built piece by piece using massive amounts of training data, and always need more and more information to keep improving ...
Meta announced on Monday that it’s going to train its AI models on public content, such as posts and comments on Facebook and Instagram, in the EU after previously pausing its plans to do so in ...
What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
12don MSNOpinion
Anthropic study reveals it's actually even easier to poison LLM training data than first thought
Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a ...
In 2025, three federal district court decisions began to sketch the boundaries of what counts as fair use in the context of AI training.
If left unchecked, "model collapse" could make AI systems less useful, and fill the internet with incomprehensible babble. When you purchase through links on our site, we may earn an affiliate ...
The energy required to train large, new artificial intelligence (AI) models is growing rapidly, and a report released on Monday projects that within a few years such AI training could consume more ...
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