Roman Chernin is the CBO and cofounder of AI infrastructure company Nebius. His career spans over 20 years in the tech industry. Every major advance in AI begins with model training, but the ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...

When was the last time you got lost in a book? These days, the act of 'deep reading,' or reading with intention, can be difficult to practice. Maryanne Wolf, an expert in the science of reading, ...

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

Imagine you're telling a secret to a friend. This might be seeking advice on a personal matter or professional help. Most of the time, you expect this conversation to remain private and away from ...

Editor’s Note: Click on the words highlighted in this story to pull up a definition and short research summary. Reading comprehension is a complex endeavor. It’s heavily dependent on learning new ...