10 Straightforward Methods To Efficiently Prepare Your Nlu Model
We envision a future the place LLMs are augmented with sensor knowledge and robotics to actively make inferences about and act upon the physical world16,17. These advances may catalyse LLMs to actually embrace embodied synthetic representation that mirrors the complexity and richness of human cognition17,29. Within this angle, our findings might contribute to the trajectory
