It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.
Morning Overview on MSN
Training a single large AI model can use as much electricity as hundreds of US homes do in a year
Every time a tech company trains a new large language model, it draws enough electricity to rival the annual consumption of a ...
While Chinese chipmakers have found success in supporting AI inference, they are struggling with the far more complex process ...
In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, and ...
Those with an interest in the concept of AI alignment (i.e., getting AIs to stick to human-authored ethical rules) may remember when Anthropic claimed its Opus 4 model resorted to ...
The Allen Institute for AI (Ai2) is releasing a new set of open-source AI models and related resources in an effort to shine a light on a critical but previously mysterious corner of the artificial ...
Anthropic has seen its fair share of AI models behaving strangely. However, a recent paper details an instance where an AI model turned “evil” during an ordinary training setup. A situation with a ...
AI researchers at Google have developed VaultGemma, a small-scale AI model specially designed to prevent memorization and potential leakage of specific training data. With businesses using potentially ...
Enterprises have spent the last 15 years moving information technology workloads from their data centers to the cloud. Could generative artificial intelligence be the catalyst that brings some of them ...
It’s been almost a year since DeepSeek made a major AI splash. In January, the Chinese company reported that one of its large language models rivaled an OpenAI counterpart on math and coding ...
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