Closing the knowledge gap with agent skills

Large language models (LLMs) have fixed knowledge, being trained at a specific point in time. Software engineering practices are fast paced and change often, where new libraries are launched every day and best practices evolve quickly. This leaves a knowledge gap that language models can't solve on their own. At Google DeepMind we see this in a few ways: our models don't know about themselves when they're trained, and they aren't necessarily aware of subtle changes in best practices (like though