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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Lets assume that the question What date will AWS re:invent 2024 occur? The corresponding answer is also input as AWS re:Invent 2024 takes place on December 26, 2024. invoke_agent("What are the dates for reinvent 2024?", A: 'The AWS re:Invent conference was held from December 2-6 in 2024.' Query processing: a.

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Top 5 Customer Service & CX Articles for Week of April 29, 2024

ShepHyken

3 Trends That Will Likely Dominate Customer Loyalty Programs In 2024 by Zsuzsa Kecsmar (Forbes) Loyalty programs are often recognized as a way to retain customers and let companies showcase their brand values. Years ago, the term “Big Data” became popular.

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Shaping the AI Future: Key Trends and Insights from the AI & Big Data Expo’24

Helpware

The AI and Big Data Expo Conference, held annually in Santa Clara, California, has become a landmark event in the industry, drawing professionals from diverse sectors to explore the latest advancements in artificial intelligence and big data.

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Contact Center Trends 2024: Our Predictions

Fonolo

We live in an era of big data, AI, and automation, and the trends that matter in CX this year begin with the abilities – and pain points – ushered in by this technology. For example, big data makes things like hyper-personalized customer service possible, but it also puts enormous stress on data security.

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How Formula 1® uses generative AI to accelerate race-day issue resolution

AWS Machine Learning

For example, it can correctly interpret user input date formats such as 2024-05-10 or 10th May 2024. About the Author Carlos Contreras is a Senior Big Data and Generative AI Architect, at Amazon Web Services. She helps AWS customers to bring their big ideas to life and accelerate the adoption of emerging technologies.

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Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

AWS Machine Learning

About the Authors Sanjeeb Panda is a Data and ML engineer at Amazon. With the background in AI/ML, Data Science and Big Data, Sanjeeb design and develop innovative data and ML solutions that solve complex technical challenges and achieve strategic goals for global 3P sellers managing their businesses on Amazon.

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Governing the ML lifecycle at scale: Centralized observability with Amazon SageMaker and Amazon CloudWatch

AWS Machine Learning

He is passionate about building secure, scalable, reliable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. He has over 3 decades of experience architecting and building distributed, hybrid, and cloud applications.