Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

In practice, generative AI tools use different strategies for different types of data when building large data models—the complex neural networks that organize vast amounts of information.

Where markets are set up, different types of data will command different prices: models will need access to timely information from the real world to stay up to date.

While the term data observability has been used broadly, it is essential to understand the different types of data observability solutions to pick the right tool for your use case.