The Backrooms movie will be released in theaters on May 29. Liminal spaces – dreamy and nostalgic locales defined by their specific use as a transient space that you don’t spend much time in but ...

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 ...

Empirical investigation requires dealing with fundamental uncertainty. In experimental psychology, research questions are often addressed using Null Hypothesis Significance Testing (NHST), an approach ...

A new technical paper, “Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference,” was published by the Georgia Institute of Technology. “Large-scale machine learning workloads increasingly ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

With that, the AI industry is entering a “new and potentially much larger phase: AI inference,” explains an article on the Morgan Stanley blog. They characterize this phase by widespread AI model ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI inference. LAS VEGAS — Not so long ago — last year, let’s say — tech industry ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...

“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 ...

The schematic illustrates the comprehensive pipeline for Mendelian randomization analysis, starting with multi-omics data inputs from GWAS, eQTL, and pQTL studies, sourced from major databases such as ...