Meta believes that SeamlessM4T, by using a single model instead of multiple models, will help reduce errors and delays in translation, making it more effective. The company hopes that the model will revolutionize communication with people who speak different languages, facilitating collaboration on important research and science.
Key takeaways:
- Meta has revealed its SeamlessM4T multimodal AI model, a multilingual translation and transcription tool that can perform speech-to-text, speech-to-speech, text-to-speech, and text-to-text translations.
- SeamlessM4T can recognize almost 100 different languages and is available for nearly 100 input and output languages, making it a powerful translation tool.
- Unlike other models, SeamlessM4T is completely open source, allowing AI researchers to modify and improve the code for their own applications.
- Meta believes that SeamlessM4T, by using a single model instead of multiple models, will help reduce errors and delays in translation, making it more effective and potentially revolutionizing how we communicate with people who speak different languages.