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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework.

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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

Retrieval Augmented Generation vs. fine tuning Traditional LLMs don’t have an understanding of Vitech’s processes and flow, making it imperative to augment the power of LLMs with Vitech’s knowledge base. Additionally, Vitech uses Amazon Bedrock runtime metrics to measure latency, performance, and number of tokens. “We

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The Six Pillars of Effective Security Operations

Palo Alto Networks

To help with this evaluation, we’ve condensed the considerations that go into building efficient and scalable security operations into six fundamental pillars. Metrics: How will we know it is working effectively? What knowledge base information needs to be accessed? Staffing: Who do we need to do this? Technology.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

Additionally, you can access device historical data or device metrics. Additionally, you can access device historical data or device metrics. The device metrics are stored in an Athena DB named "iot_ops_glue_db" in a table named "iot_device_metrics". The AI assistant interprets the user’s text input.

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The importance of software documentation tools

Apiumhub

This is where Confluence comes for creating summaries, synopses, reports, dashboards, progress updates or code metrics. Your team will be able to create and organize knowledge base articles thanks to a blueprint that contains templates for how-to and troubleshooting articles. Almost-infinit” scalability. Knowledgebase.

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Robotic Process Automation (RPA) in Supply Chain Management: Use Cases and Implementation Tips

Altexsoft

Tasks that do not need specialized knowledge or insight are excellent fits for RPA. This is in contrast to cognitive automation , where technology needs a knowledge base and brings context and other human-like attributes to task execution. While the benefits of RPA are massive, stakeholders must avoid rushing in without a plan.

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Kentik Detect for FinServ Networks: Real-World Use Cases

Kentik

To learn more about Custom Dimensions, check out our Knowledge Base article. For more information, check out our Dashboards Knowledge Base article. The kprobe agent produces flow data enriched with performance metrics and layer 7 details which are stored in the Kentik Data Engine. The Big Picture.

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