Modern large language models (LLMs) push automation and quality boundaries in business operations by converting natural language into text, insights and code. They help employees free up more time and ...

The use of large language models (LLMs) as an alternative to search engines and recommendation algorithms is increasing, but early research suggests there is still a high degree of inconsistency and ...

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

Foundation models—AI systems trained on expansive datasets that can perform a wide range of tasks—and large language models—a subset of foundation models capable of processing and generating humanlike ...

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...

I can now spin up new containers with simple conversational prompts ...

Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...

Local design has more going for it than I gave it credit for ...