Setting Up AI21 TSMs on AWS
In this blog post, we will guide you on how to leverage AI21 Labs’ Task-Specific Models (TSMs) on AWS. These models have been designed to enhance various business operations.
Introduction to AI21 Task-Specific Models
AI21 Labs specialize in building state-of-the-art language models and offer Task-Specific Models (TSMs) for a range of applications such as answering questions, summarization, and grammatical error correction. These models are accessible through services like Amazon SageMaker Jumpstart.
Accessing and Customizing AI21 TSMs
You can access specific AI21 TSMs in your SageMaker Jumpstart environment, such as AI21 Contextual Answers, AI21 Summarize, AI21 Paraphrase, and AI21 Grammatical Error Correction. Each of these models serves unique purposes and can be customized to suit your requirements.
Benefits of AI21 TSMs for Business Use-Cases
AI21 Labs’ TSMs are specialized models aimed at solving specific problems commonly encountered in commercial applications. These models offer out-of-the-box value, cost-effectiveness, and higher accuracy for various tasks, making them ideal for enhancing commercial operations.
Prerequisites and Cost Estimation
Before proceeding with implementing AI21 TSMs, ensure you have the necessary prerequisites in place, including an AWS account, SageMaker environments, and subscription to AI21 TSMs via the AWS Marketplace. Additionally, consider the estimated cost involved in deploying these models for your business operations.
Using AI21 TSMs in SageMaker Jumpstart
Learn how to set up and deploy AI21 TSMs in SageMaker Jumpstart, access interactive notebooks, and run inference tasks using code blocks. Utilize these specialized models like Contextual Answers, Summarize, and Paraphrase to enhance information retrieval and communication processes within your organization.
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