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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning

answer = wrapper_store_faiss.query(question=PROMPT.format(query=query), llm=llm) print(answer) AWS, or Amazon Web Services, has evolved significantly since its initial launch in 2006. He focuses on generative AI, AI/ML, and Data Analytics. There was no monitoring, load balancing, auto-scaling, or persistent storage at the time.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning

Innovations like this are why we’ve been partnered with AWS since the beta in 2006.” – Andrew Laffoon, CEO, Mixbook Conclusion Mixbook started experimenting with AWS generative AI solutions to augment their existing application in early 2023. She brings a breadth of expertise in Data Analytics and Machine Learning.

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Are you ready? These are the 14 opportunities & risks you face in 2024

Beyond Philosophy

Statistic #1: Gallup Analytics says companies that apply the principles of behavioral economics can outperform their competition by 85% in sales growth and more than 25% in gross margins. Statistic #6: The ACSI is at its lowest point since 2006. I agree with this one, and it’s an area I have discussed before.

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A History of Customer Support Technology

TeamSupport

Companies began using Facebook for marketing and promotion shortly after the platform expanded beyond college students and was opened to the general public in September 2006. Mid-2000s: Social Media Support & Help Desk Software At the start of the new millennium, social media platforms like Facebook began to emerge.

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Achieve enterprise-grade monitoring for your Amazon SageMaker models using Fiddler

AWS Machine Learning

Through model monitoring, model explainability, analytics, and bias detection, Fiddler provides your company with an easy-to-use single pane of glass to ensure your models are behaving as they should. Danny is long tenured in the analytics and ML space, running presales and post-sales teams for startups like Endeca and Incorta.

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Recommend top trending items to your users using the new Amazon Personalize recipe

AWS Machine Learning

He works with customers from different sectors to accelerate high-impact data, analytics, and machine learning initiatives. The code to perform the mapping is provided in the attached notebook. About the authors Vamshi Krishna Enabothala is a Sr. Applied AI Specialist Architect at AWS.

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Connecting Satisfaction With Behavior: Does The Service-Profit Chain (or The Employee Engagement-Profit Chain) Still Work?

Beyond Philosophy

For the past two decades, it has been the analytical foundation used by many organizations to assess the health of their company. There is an ongoing, fundamental flaw with the Service-Profit Chain, not surfaced with much attention when the concept was first introduced, or given any examination frequency since that time.