Discover the fascinating world of multi-modal AI as the hosts delve into Udio for music generation and compare it to traditional data modalities. Explore the impact of AI-generated music, legal implications, and personalized content experiences. Learn about the evolution of multi-modal AI models and practical applications in tasks like visual question answering and automated reasoning over images.
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Quick takeaways
AI models are evolving to process multiple inputs simultaneously, such as combining text and image inputs for tasks like visual question answering.
Multimodal AI reflects human information processing across various sensory modalities, merging text and visual inputs to enhance AI capabilities.
Deep dives
Evolution of Models in AI
Models in AI have evolved from specialized ones for text, speech, and image processing to large foundation models that can handle multiple inputs simultaneously. For instance, Lava combines a visual encoding system like Clip with a language model to process both text and image inputs, enabling tasks like visual question answering.
Multimodal Functionality in AI
There is a shift towards multimodal functionality in AI, reflecting how humans process information across various sensory modalities. Models like GPT Vision or Gemini demonstrate the merging of visual and text inputs for tasks like image summarization or creating music. This aligns AI advancements with human cognitive processes.
Application of Multimodal Models
Multimodal models like Lava allow for joint processing of text and image inputs, facilitating tasks that require reasoning across multiple modes of data simultaneously. These models create embedded representations from inputs like text prompts and images, enabling nuanced responses to queries that span both visual and textual information.
Exploration of Multimodal Capabilities
The integration of text and image inputs in models like Lava enables nuanced responses to complex queries, such as explaining memes or answering questions about visual content. By exploring and experimenting with multimodal models, individuals can gain insights into the potential of combining different modes of data processing for enhanced AI capabilities and applications.
2024 promises to be the year of multi-modal AI, and we are already seeing some amazing things. In this “fully connected” episode, Chris and Daniel explore the new Udio product/service for generating music. Then they dig into the differences between recent multi-modal efforts and more “traditional” ways of combining data modalities.
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