Text Classification: Handling 1000+ Classes with Generative AI | Amazon Web Services

Technical demonstration of a text classification workflow which can handle 1000+ categories using Amazon Bedrock, with a focus on accuracy validation. This session covers: ▶️ Three-step classification workflow: semantic search, reranking, and attribute validation ▶️ Live demonstration ▶️ Overview of the GitHub repository Source code: http://go.aws/3KIhpxj Presenter: Lior Perez, Principal Generative AI & Machine Learning Solutions Architect, AWS Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance. #AWSBedrock #MachineLearning #ArtificialIntelligence #TextClassification #GenerativeAI #NLP #TechDemo #AWS #AmazonWebServices #CloudComputing