Multimodal AI explained: what it means when a model can see, hear, and read at once
Multimodal AI lets a single model process text, images, audio, and video together rather than treating each as a separate problem. Understanding how that works, and where it breaks down, changes how you design AI-assisted workflows.
Go deeper, free lessons
Multimodality and long context: Gemini's superpowers
Images, voice, and vision
The context window: the model's working memory
Cost, latency, and model selection tradeoffs
Verifying outputs: trust but check
Full transcript: https://www.mba-training.com/en/podcast/ai/multimodal-ai-text-image-voice-video
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