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9 reasons why you should consider onsite LLM training and inferencing

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...
Digi Times

Microsoft launches AI superfactory to mitigate grid load

Microsoft has activated its data center in Atlanta, Georgia, connecting it with another Fairwater project data center in Wisconsin. This will support OpenAI and its own LLM training, using two-story ...
Ars Technica

Researchers show that training on “junk data” can lead to LLM “brain rot”

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...
PC Gamer

Anthropic reveals that as few as '250 malicious documents' are all it takes to poison an LLM's training data, regardless of model size

AI 'There is *zero* point in talking about AI slop. That's just plain stupid': Linus Torvalds weighs in on AI debate in Linux kernel documentation RPG Larian swears off gen AI concept art tools and ...