How does Hebrew AI work?
- Natural Language Processing (NLP). NLP enables machines to understand and interpret human language, allowing Hebrew AI to analyze text, recognize speech, and generate responses in Hebrew.
- Machine Learning. Machine learning algorithms are used to improve the performance of Hebrew AI systems by training them on large datasets of Hebrew language text and speech.
- Text-to-Speech (TTS). TTS technology converts written Hebrew text into spoken words, facilitating accessibility and enhancing user interaction.
- Speech Recognition. Speech recognition technology allows Hebrew AI systems to transcribe and understand spoken Hebrew, making it easier for users to engage with AI applications.