BAviscosity
BAviscosity is a term that has emerged in discussions related to artificial intelligence, particularly in the context of evaluating the capabilities and limitations of large language models. It refers to a perceived resistance or slowness in an AI system to adapt or change its behavior, particularly when presented with new information or a shift in its operating parameters. This can manifest as a model continuing to produce outputs based on its initial training data or established patterns, even when explicitly instructed to deviate or when encountering contradictory evidence.
The concept of BAviscosity is not a formal scientific or technical term with a universally agreed-upon definition.
Understanding BAviscosity is important for several reasons. It highlights the challenges in fine-tuning AI models and