We exemplify how you can use this model to translate between multiple languages, summarize long-form text, answer questions based on a given context and generate text that appears indistinguishable from human-written text. In this post, we provide an overview of how to deploy and run inference with the AlexaTM 20B model programmatically through JumpStart APIs, available in the SageMaker Python SDK. AlexaTM 20B outperforms a 175 billion GPT-3 model on zero-shot learning tasks such as SuperGLUE and shows state-of-the-art performance for multilingual zero-shot tasks such as XNLI. It can be applied even when there are only a few available training examples, or even none at all. You can use AlexaTM 20B for a wide range of industry use-cases, from summarizing financial reports to question answering for customer service chatbots. AlexaTM 20B is a multilingual large-scale sequence-to-sequence (seq2seq) language model developed by Amazon.
Today, we announce the public availability of Amazon’s state-of-the-art Alexa Teacher Model with 20 billion parameters (AlexaTM 20B) through Amazon SageMaker JumpStart, SageMaker’s machine learning hub. July 2023: This post was reviewed for accuracy.
