You are using a multimodal generative AI model that integrates both text and image inputs to generate detailed product descriptions and corresponding visuals. However, you observe that the generated images are high-quality, but the textual descriptions are vague and lack detail. What could be the primary cause of this issue?
Which of the following best describes how a pretrained modern LLM can be leveraged to solve various NLP tasks such as token classification, text classification, summarization, and question-answering?
You are working on a generative AI project that requires integrating a client's legacy data systems with a new AI model for image generation. The client insists on frequent updates and involvement throughout the development process. What is the most critical initial step in ensuring smooth collaboration and alignment with the client’s expectations?
You are tasked with improving a multimodal neural network used for predicting patient outcomes based on medical imaging, lab results, and clinical notes. The current model struggles with learning complex features due to the depth of the network. Which benefit of residual connections would most directly address this problem?
You are designing a generative AI system that needs to interpret and generate both textual descriptions and corresponding images. The system must integrate these diverse data types into a coherent model framework. Which of the following is the most effective approach for achieving this integration?