In my view, the companies seeing the most success with AI today aren’t betting on a single large language model (LLM).

Prompt engineering is the practice of priming LLM queries to increase quality and reliability. Users cannot fully safeguard ...

Microsoft expanded a long run of layoffs by announcing a workforce reduction of up to 4 percent, or about 9,100.

Compared with other LLM-driven methods, prompt engineering can better align with the demands of wireless network devices, for example, higher deployment flexibility, rapid response time, and lower ...

An intention refinement method for domain-data analysis using large language models is proposed. It employs a “domain-framing prompt” to relate a domain expert's interests with relevant domain data.

Large Language Model (LLM) inference, where a trained model generates text one word at a time in response to user prompts, is a computationally intensive process requiring efficient scheduling to ...

This study proposes a method to diversify queries in existing test collections to reflect some of the diversity of search engine users, aligning with an earlier vision of an ‘ideal’ test collection. A ...

As AI models become “smarter,” the environmental cost of using them may be rising. Your carbon footprint may come down to what questions you ask it.