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Leveraging AWS Bedrock for Effective Article and Review Classification
Learn an easy way to classify your articles or user reviews
Amazon Bedrock, recently unveiled as part of a comprehensive suite of tools for harnessing the potential of generative AI within the AWS ecosystem, represents a significant leap forward in the field. As a fully managed service, it provides users with a versatile array of high-performing foundation models (FMs) sourced from prominent AI pioneers such as AI21 Labs, Anthropic, Cohere, Stability AI, and Amazon itself. This wealth of options is complemented by a wide range of capabilities tailored for the development of generative AI applications. With an unwavering commitment to privacy and security, Bedrock streamlines the process of creating AI-driven solutions while ensuring data integrity and confidentiality.
In a landscape where choices like OpenAI, Bing, and Bard have their merits, Bedrock emerges as a compelling alternative that merits exploration. In this article, we will delve into a straightforward case study, illustrating how AWS Bedrock can be harnessed to unlock the full potential of generative AI.
How can you classify articles or reviews website using AWS Bedrock?
In a world where more and more people rate you, and it is more necessary to segment your data, generative AI is here to stay, as you know currently we can use several tools for this task such as ChatGPT, Bard, Bing, among others but this time we will use AWS Bedrock, an amazing and easy new comprehensive management service for classifying articles or reviews.
In the following case study, we will select a headline from a news article to identify the most relevant keywords. Subsequently, we will utilize two random reviews from a website, with the aim of categorizing them as either bad, regular, or excellent. To achieve this, we will set up a Cloud9 environment on AWS, and using a straightforward Python script, we will be able to obtain the desired responses.
Here we go!
Before launching a Cloud9 instance you should keep in mind that is necessary to get grant permission to available Models on AWS Bedrock, in this case, we are going to use the Cohere Model in order to generate…
