When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

With the surprise release of their new "Harrier" family of embedding models, Microsoft is making a massive play for the ...

Fine-tuning an AI model can feel a bit like trying to teach an already brilliant student how to ace a specific test. The knowledge is there, but refining how it’s applied to meet a particular ...

NVIDIA’s RTX 50 Series graphics cards have enough VRAM to load Gemma 4 models, and a range of others. Their Tensor Cores help ...

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...

When non-DBAs think about what it is that a DBA does, performance monitoring and tuning are usually the first tasks that come to mind. This should not be surprising. Almost anyone who has come in ...