Single-modal model

As explained in Build a Text-to-Image Generator (from Scratch)

A unimodal model processes data within a single modality, such as text-only or image-only data.

A single-modal model, or unimodal model, processes data within one modality, such as text-only or image-only data. Its input and output remain within the same data type, unlike a multimodal model that connects text, images, audio, or video. section 1.1.1

Typical single-modal patterns include:

• A text model receives text and generates text; GPT-3 is given as an example. section 1.1.1
• An image model can generate images from random noise while processing only image data. section 1.1.1
• A text-to-image system is multimodal because it accepts text and produces an image rather than staying within one modality. section 1.1.1

Figure 1.1 Comparison of unimodal and multimodal models

Use the comparison figure to distinguish same-modality input/output from cross-modality interaction. section 1.1.1

How Build a Text-to-Image Generator (from Scratch) covers it

How deep it goes

Defines same-modality processing and contrasts it with multimodal processing, stopping short of detailed architecture or implementation.

Examples

Uses GPT-3 for text-to-text processing and image generation from random noise as unimodal examples.

What you can do after

Evaluate whether a model is unimodal by checking whether its inputs and outputs remain within one data modality.

How it connects

Connects unimodal models with generative AI, language models, multimodal models, transformers, and diffusion models.

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Also explained in

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  Hugging Face in ActionA single-modal model is a machine learning model that processes data from one modality, such as only images or only text.

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Related concepts

• language modelkind of · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
• multimodalcontrasts with · A multimodal model is a model that processes, generates, or relates information represented in two or more data modalities, such as text, images, audio, or video.
• GPT modelincludes · A GPT model is a generative pretrained Transformer language model that produces text autoregressively by predicting successive tokens from preceding context.
• image generation modelincludes · An image generation model is a machine-learning model that creates, edits, or transforms images from learned patterns and conditioning inputs.

This explainer was generated by Manning's knowledge graph from the text of Build a Text-to-Image Generator (from Scratch). The section links point to the parts of the book it draws on.