It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

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 ...

The rapid rise of generative artificial intelligence like OpenAI’s GPT-4 has brought remarkable advancements, but it also presents significant risks. One of the most pressing issues is model collapse, ...

Understand why test data management is a more complex and impactful challenge than test automation itself, and how to address ...