Using Large Language Models for TTS/ASR/OCR(Development of Large Model Applications 19)
Explore multimodal AI applications like text-to-image, image-to-text, TTS, ASR, and OCR using large language models for enhanced content creation and processing.
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.