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Related Questions
- What are the key differences between joint multimodal embeddings and late fusion, and how can they be applied in a prompt engineering workflow?
- How can multimodal embeddings, such as joint multimodal embeddings or late fusion, be used to improve the accuracy of a language model?
- What are some common use cases for multimodal embeddings in natural language processing, and how can they be incorporated into a prompt engineering workflow?
- Can you provide an example of how joint multimodal embeddings can be used to generate more accurate and informative prompts?
- How does the choice of fusion method (e.g. early, late, or hybrid) impact the performance of a multimodal embedding model in a prompt engineering workflow?
- What are some techniques for handling modalities with different scales or distributions in a multimodal embedding model, such as image and text?
- How can multimodal embeddings be used to improve the robustness and generalizability of a language model in a prompt engineering workflow?
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