I. Preface
Meta AI's recent blockbuster actions have been frequent, and a series of open source large models have been released in just over a month, let's take a look at what influential products there are.
July 14, 2023
Meta AI is proud to introduce the CM3leon, the first multimodal model that delivers state-of-the-art text-to-image generation performance and is 5x more computationally efficient than competing models.
July 18, 2023
Meta and Microsoft launch the next generation of Llama, Llama 2 free for research and commercial use.
Llama 2 is Meta's Open Source Big Language Model (LLM). This is basically Facebook's parent company's response to OpenAI's GPT model and Google's AI model (like PaLM 2), but with one key difference: it's free for almost anyone for research and commercial purposes. August 16, 2023
August 2, 2023
Facebook, Meta's parent company, has launched a new generative AI tool called AudioCraft, which allows users to create high-quality audio and music using text prompts. The tool includes audio models MusicGen, AudioGen, and EnCodec to generate music and audio based on text prompts.
AudioCraft consists of three models: MusicGen, AudioGen, and EnCodec. MusicGen trains with Meta-owned and specially licensed music to generate music based on text prompts, while AudioGen trains with public sound effects to generate audio based on text prompts.
August 23, 2023
Meta AI is proud to launch SeamlessM4T, the first all-in-one multilingual multimodal translation model. This single model can perform speech-to-text, speech-to-speech, text-to-text translation, and speech recognition tasks in up to 100 languages depending on the task.
On the same day, MetaAI's new SeamlessM4T model is now available on Hugging Face!
August 24, 2023 (planned)
According to The Information, Meta plans to release Code Llama, an open-source code-generating AI model, this Thursday (August 24). The model is designed to help developers automatically recommend snippets of code as they write to improve development efficiency, while also making it easier for companies to create AI assistants.
Today, we will mainly introduce the model of SeamlessM4T multi-language multitasking.
About SeamlessM4T
Meta AI released an AI open-source language translation model called SeamlessM4T on August 23, 2023, which can help users transcribe and translate in nearly 100 languages. The model is based on Meta's AI technology and helps users translate various languages faster and more accurately. Meta AI claims that after training on billions of sentences and millions of hours of speech data, it outperforms existing models in noisy transcriptions and less common languages.
The SeamlessM4T represents a major breakthrough in speech-to-speech and speech-to-text by solving the challenges of limited language coverage and reliance on separate systems.
The SeamlessM4T large model can run on the free T4 VRAM provided by Google Colab, which takes up about 6GB of VRAM on the T4, and interested can quickly experience it, the Colab address is at the end of the article.
SeamlessM4T is a foundational multilingual and multi-tasking model that seamlessly translates and transcribes speech and text. SeamlessM4T supports:
- Automatic speech recognition in nearly 100 languages
- Speech-to-text translation in nearly 100 input and output languages
- Voice translation, supporting nearly 100 input languages and 35 (+English) output languages
- Text-to-text translation in nearly 100 languages
- Text-to-speech translation, supporting nearly 100 input languages and 35 (+English) output languages
Compared to cascading methods, SeamlessM4T's single-system approach reduces errors and delays, improves translation efficiency and quality, and delivers state-of-the-art results.
Regarding the SeamlessM4T model, the multi-tasking UnitY model architecture is used, which is capable of directly generating translated text and speech. This new architecture also supports automatic speech recognition, text-to-text, text-to-speech, speech-to-text, and speech-to-speech translation, which are already part of the common UnityY model. The multitasking UnitY model consists of three main sequential components. Text and speech encoders are tasked with recognizing speech input in nearly 100 languages. The text decoder then translates that meaning into nearly 100 text languages, and then uses a text-to-cell model to decode it into discrete acoustic units for 36 speech languages. Pretrain self-supervised encoders, speech-to-text, text-to-text translation components, and text-to-cell models to improve model quality and training stability. The decoded discrete unit is then converted to speech using a multilingual HiFi-GAN unit vocoder.
SeamlessM4T is a very advanced AI translation model that uses the latest deep learning technology to achieve high-precision translation. The model is also highly adaptive, automatically adjusting and optimizing according to the user's needs to provide better translations.
In addition to translation, SeamlessM4T can also help users with speech transcription and transcription. This means that users can convert speech or text into any of the supported languages through the model. This is great for those who need to communicate across languages.
SeamlessM4T has a wide range of application scenarios. For example, in areas such as international trade, tourism, and education, SeamlessM4T can help people communicate better across languages. In addition, SeamlessM4T can also play an important role in government, medical and other fields.
III. Summary
In conclusion, SeamlessM4T is a very powerful and advanced AI translation model that can help users better communicate across languages. If you need to communicate across languages, then SeamlessM4T is definitely a tool worth trying.
References
SeamlessM4T GitHub Repo
https://github.com/facebookresearch/seamless_communication
SeamlessM4T Pager
https://ai.meta.com/research/publications/seamless-m4t/
SeamlessM4T News
https://ai.meta.com/blog/seamless-m4t/
Hugging Face Space
https://huggingface.co/models?search=facebook/seamless-m4t
SeamlessM4T Demo
https://seamless.metademolab.com/demo
SeamlessM4T Colab
https://github.com/camenduru/seamless-m4t-colab