Hello everyone, welcome to the "Development of Large Model Applications" column.
When it comes to multimodal applications, the most common ones are text-to-image and image-to-text conversions. This involves providing prompts to models like Stable Diffusion, Midjourney, or DALL-E to generate images, or feeding images to large language models (LLMs) to get descriptive text.
These two multimodal systems are widely used. Text-to-image models are a key component of AI-generated content (AIGC), significantly improving the efficiency of designers and enabling even non-experts to create images.
In our previous discussion, we covered GPT-4's video interpretation capabilities. With the advent of Sora, people now dream of creating movie-grade special effects.
Today, we'll complete our discussion on multimodal processing by focusing on TTS, ASR, and OCR.
