Remove Big data Remove Entertainment Remove Healthcare Remove Scripts
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­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

AWS Machine Learning

SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table.

Scripts 73
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Before you can write scripts that use the Amazon Bedrock API, you’ll need to install the appropriate version of the AWS SDK in your environment. He has helped companies in many industries, including insurance, financial services, media and entertainment, healthcare, utilities, and manufacturing. Nihir Chadderwala is a Sr.

APIs 113
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services. He recharges through reading, traveling, food and wine, discovering new music, and advising early-stage startups.

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Revolutionizing Communication: Unleashing the Power of the Best Artificial Intelligence Chatbots

SmartKarrot

It is a versatile chatbot capable of answering a wide range of questions and engaging in natural language conversations on various topics, including but not limited to education, entertainment, and technology. Here’s a step-by-step guide to getting started with chatbot scripts.