
Your Model Was Accurate Last Year. Is It Still?
Here’s a problem that doesn’t always make it into model deployment conversations: AI models degrade over time, even when you don’t touch them. Not because the model changes. Because the
Booth 21-25 | AI Data Management Zone | Tokyo Big Sight

Here’s a problem that doesn’t always make it into model deployment conversations: AI models degrade over time, even when you don’t touch them. Not because the model changes. Because the

For most of the last six years, the most capable LLMs were locked behind APIs. You could call them, you could build on them, but you couldn’t look inside, customize the weights, or run them on your own infrastructure. That was simply the reality of working with frontier models. In
