Which example is used to illustrate image generation from a text prompt among content modalities?

Which example is used to illustrate image generation from a text prompt among content modalities?

• A. GPT-3
• B. DALL-E
• C. Word2Vec
• D. BERT

Answer: (B)

Generating an image from a text prompt shows how a model moves from language to a different content modality. DALL-E is built to take a descriptive text and produce a corresponding image, effectively bridging text and image domains. That makes it the example used to illustrate image generation from a text prompt. The other models focus on text in different ways: GPT-3 generates fluent prose, Word2Vec creates word embeddings to capture semantic relationships, and BERT models understand and contextualize text. So DALL-E uniquely demonstrates cross-modal generation from text to image.

Generating an image from a text prompt shows how a model moves from language to a different content modality. DALL-E is built to take a descriptive text and produce a corresponding image, effectively bridging text and image domains. That makes it the example used to illustrate image generation from a text prompt. The other models focus on text in different ways: GPT-3 generates fluent prose, Word2Vec creates word embeddings to capture semantic relationships, and BERT models understand and contextualize text. So DALL-E uniquely demonstrates cross-modal generation from text to image.