To effectively use multiple types of data, AI systems first need a solid understanding of each data type on its own. This chapter addresses how different forms of information, such as text, images, audio, and video, are prepared and structured so that machines can process them. We will look at the common ways these data are represented and the initial steps taken to get them ready for more complex multimodal tasks.
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Grasping these data preparations is an important step before learning how AI models integrate these diverse information streams.
2.1 Text Data Representation: From Characters to Meaning
2.2 Image Data Representation: Pixels, Features, and Structure
2.3 Audio Data Representation: Sound Waves to Digital Signals
2.4 Video Data: Sequences of Images and Sound
2.5 Basic Preprocessing for Different Data Types
2.6 Aligning Data from Multiple Sources
2.7 Comparing Information Across Modalities
2.8 Hands-on Practical: Observing Data Formats
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