Does the best ai humanizer have deep learning capabilities?

Yes, currently the best ai humanizer commonly use deep learning technology to enhance human interaction capabilities. The following is a specific analysis:
The role of deep learning in artificial intelligence
Deep learning simulates the way the human brain processes information by constructing multi-layer neural networks, enabling AI to have automatic feature extraction, multimodal understanding, and complex task processing capabilities. For example, generative AI models such as ChatGPT and Sora use deep learning as their core technology to achieve cross modal generation from text to images and videos.  ‌
Application scenarios of deep learning functionality
Natural language processing: Deep learning models can automatically optimize language feature extraction and support smoother dialogue interactions. For example, DeepSeeker R1 reduces computing power requirements through innovative training methods, and users can deploy local devices to achieve personalized services.  ‌
Multimodal understanding: Grok 4 supports multiple input forms such as text, images, structured data, and calls tools to complete complex tasks (such as gravitational wave model analysis).  ‌
Real time interaction: OpenAI's Llama and Google Gemini models optimize speech processing capabilities to achieve lower end-to-end latency.  ‌
Technological development trends
The deep learning models released in 2025 generally emphasize open source and collaboration, such as the open source model of DeepSeeker R1, which may drive the industry to form a technology development path dominated by open source.  ‌