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Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

Enhancing Multimodal AI with Token Discrepancy Loss

This chapter examines token discrepancy loss as a method to integrate visual and textual information in AI models, enhancing their performance in multimodal tasks. It discusses the challenges and insights gained from training models that optimize reasoning through accurate visualizations. The chapter highlights the fine-tuning process, current model limitations, and the potential for future advancements in multimodal reasoning.

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