AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

To create advanced AI applications, developers need large language models that can integrate with diverse data sets. However, an LLM's ability to access the software stack in standardized ways remains ...

Given the high costs and slow speed of training large language models (LLMs), there is an ongoing discussion about whether spending more compute cycles on inference can help improve the performance of ...

Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...

On Tuesday, former OpenAI researcher Andrej Karpathy announced the formation of a new AI learning platform called Eureka Labs. The venture aims to create an “AI native” educational experience, with ...

Since late 2022, the field of artificial intelligence (AI) has experienced extraordinary growth, advancing at an astonishing pace. This rapid development is reshaping industries and transforming how ...

It’s now possible to run useful models from the safety and comfort of your own computer. Here’s how. MIT Technology Review’s How To series helps you get things done. Simon Willison has a plan for the ...

At the Cannes Lions festival on June 16, 2025, Adobe introduced Adobe LLM Optimizer, a new enterprise-grade tool designed to help businesses improve their visibility in generative AI-powered ...

Dhruv Bhutani has been writing about consumer technology since 2008, offering deep insights into the personal technology landscape through features and opinion pieces. He writes for XDA-Developers, ...