training

How you can construct AI scaling laws for efficient LLM training and budget maximization

When researchers are constructing large language models (LLMs), they aim to maximise...

Is Your Training Data Representative? A Guide to Checking with PSI in Python

To get essentially the most out of this tutorial, you must have a solid understanding of the right way to compare two distributions. For those who don’t, I like to recommend testing this excellent...

Forcing LLMs to be evil during training could make them nicer in the long term

For this study, Lindsey and his colleagues worked to put down a few of that groundwork. Previous research has shown that various dimensions of LLMs’ behavior—from whether or not they are talking about...

A significant AI training data set comprises tens of millions of examples of private data

The underside line, says William Agnew, a postdoctoral fellow in AI ethics at Carnegie Mellon University and one in all the coauthors, is that “anything you set online can and possibly has...

Pipelining AI/ML Training Workloads with CUDA Streams

ninth in our series on performance profiling and optimization in PyTorch aimed toward emphasizing the critical role of performance evaluation and optimization in machine learning development. Throughout the series we've reviewed a wide selection of practical...

AI training gets legal clarity

Good morning, AI enthusiasts. AI’s fair use debate just got its first major answer — and it’s each a win and a warning for AI corporations.With a judge green-lighting Anthropic’s use of legally purchased...

Kyung Hee University selects the Ministry of Health and Welfare ‘Medical AI Convergence Talent Training Project’

Kyung Hee University (President Kim Jin -sang) announced on the fifth that it was chosen for the '2025 AI Specialized Convergence Talent Training Project' organized by the Ministry of Health and Welfare. Medicine, dentistry,...

Constructing Confidence in AI: Training Programs Help Close Knowledge Gaps

AI is reshaping the workforce at a breakneck speed, yet training efforts aren’t meeting the moment. Despite a quarter of executives feeling bullish on the technology, only 12% of staff have received AI-related training...

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