Meta Launches AI Model that Can Evaluate Other AI Models' Work, Spirit LM that Freely Mixes Text and Speech
Meta FAIR has publicly released several new research artifacts aimed at its goal of achieving advanced machine intelligence.
Meta's Self-Taught Evaluator
Meta has released a new AI model called the Self-Taught Evaluator that can evaluate the work of other AI models. This model is trained on a dataset of synthetic data that is generated by the model itself. This allows the Self-Taught Evaluator to learn how to evaluate AI models without the need for human annotations.
Meta's Spirit LM
Meta has also released a new AI model called the Spirit LM. This model is a large language model that can freely mix text and speech. This allows the Spirit LM to generate more natural-sounding speech than other AI models.
Other New AI Models from Meta
In addition to the Self-Taught Evaluator and the Spirit LM, Meta has also released several other new AI models, including:
- Segment Anything Model 2: This model can be used to segment images and videos.
- Layer Skip: This model can be used to skip layers in a neural network.
- SALSA: This model can be used to generate synthetic data.
- Meta Lingua: This model can be used to translate between languages.
- OMat24: This model can be used to generate images.
- MEXMA: This model can be used to generate music.
Meta's Commitment to Open Science
Meta is committed to open science and reproducibility. All of the new AI models that have been released by Meta FAIR are open source. This means that anyone can download and use these models for their own research.
Keywords: Meta, AI, machine learning, natural language processing, speech recognition, text-to-speech, self-taught evaluator, Spirit LM
Summary
Meta has released several new AI models that have the potential to revolutionize the way we interact with computers. The Self-Taught Evaluator can help us to develop better AI models, and the Spirit LM can help us to create more natural-sounding speech. These models are open source, which means that anyone can download and use them for their own research.