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Multimodality and Large Multimodal Models (LMMs)

Named practitioner synthesis

#197

T3digested
Topic
Multimodal AI
First seen
2026-07-16 19:08:00
Last seen
2026-07-16 19:08:00

Source raw items (1)

  • Blog / Newsletter2026-07-16 19:07:19
    Multimodality and Large Multimodal Models (LMMs)

    <p>For a long time, each ML model operated in one data mode – text (translation, language modeling), image (object detection, image classification), or audio (speech recognition).</p> <p>However, natural intelligence is not limited to just a single modality. Humans can read, talk, and see. We listen to music to relax and watch out for strange noises to detect danger. Being able to work with multimodal data is essential for us or any AI to operate in the real world.</p> <p>OpenAI noted in their <a href="https://cdn.openai.com/papers/GPTV_System_Card.pdf">GPT-4V system card</a> that “<em>incorporating additional modalities (such as image inputs) into LLMs is viewed by some as a key frontier in AI research and development</em>.”</p> <p>Incorporating additional modalities to LLMs (Large Language Models) creates LMMs (Large Multimodal Models). Not all multimodal systems are LMMs. For example, text-to-image models like Midjourney, Stable Diffusion, and Dall-E are multimodal but don’t have