You are working on a team developing a technical manual for a new generative AI software that uses multimodal inputs. Your role is to ensure that the manual accurately describes how to train the model with the correct input formats and parameters. Which aspect is most important to emphasize when documenting the training process for the generative AI model?
You are designing a multimodal AI system for a smart city project that monitors traffic, air quality, and public safety using video feeds, sensor data, and social media analysis. The system needs to operate continuously with high accuracy while minimizing energy consumption across multiple edge devices. Which strategy should you prioritize to achieve the best balance between energy efficiency and system performance?
You are developing a generative AI system that needs to create text-based narratives based on a sequence of images. Which approach would best handle this multimodal task while ensuring accurate context understanding and efficient processing?
You are managing a production-level conversational AI application deployed with Helm in a Kubernetes cluster. You need to perform a rolling update to the ASR service without causing downtime. What is the best strategy to achieve this?
You are developing a multimodal model that integrates audio, text, and image data for a sentiment analysis task. During training, you observe that the model’s loss function is fluctuating significantly, particularly when fusing the different modalities. Which technique is most likely to improve the stability of the model during training?