Article 7 Beyond Language Transformers for Vision,

Beyond Language: Transformers for Vision, Audio, and Multimodal AI - Article 7

Executive Summary (2 minutes)

What: Transformers now excel at processing images, audio, and multiple modalities—not just text.

Why It Matters: Enable new applications like visual search, automated transcription, and content generation.

Key Technologies:

• Vision: ViT, DeiT, Swin Transformer
• Audio: Whisper, Wav2Vec 2.0
• Multimodal: CLIP, BLIP-2
• Generation: Stable Diffusion XL

Quick Win: Implement CLIP-based image search in under 50 lines of code (see Quick Start).

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Article 7 - Beyond Language Transformers for Visio

Introduction: Extending Transformers Beyond Language

In the world of artificial intelligence, transformers have revolutionized natural language processing. But what happens when we apply this powerful architecture to other types of data? This article explores the exciting frontier where transformer models transcend text to interpret images, understand audio, and connect multiple data modalities simultaneously.

Imagine AI systems that can not only read documents but also analyze X-rays, transcribe meetings, generate artwork from descriptions, and understand the relationship between visuals and text. These capabilities are no longer science fiction—they’re being deployed in production environments today through multimodal transformer architectures.

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