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Agentic AI design: An architectural case study

CIO

An agent is part of an AI system designed to act autonomously, making decisions and taking action without direct human intervention or interaction. It’s important to break it down this way so you can see beyond the hype and understand what is specifically being referred to. The only cost is the creation of the Python code.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For example, consider a text summarization AI assistant intended for academic research and literature review. Software-as-a-service (SaaS) applications with tenant tiering SaaS applications are often architected to provide different pricing and experiences to a spectrum of customer profiles, referred to as tiers.

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How ML System Design helps us to make better ML products

Xebia

Table of Contents What is Machine Learning System Design? Design Process Clarify requirements Frame problem as an ML task Identify data sources and their availability Model development Serve predictions Observability Iterate on your design What is Machine Learning System Design?

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

Organizations possess extensive repositories of digital documents and data that may remain underutilized due to their unstructured and dispersed nature. Solution overview This section outlines the architecture designed for an email support system using generative AI. Refer to the GitHub repository for deployment instructions.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

The cloud CoE team of architects should work with the EA to align with the reference architecture patterns that the CoE team would like the application teams/product teams to follow in their solution design. First, the mean part. This article was made possible by our partnership with the IASA Chief Architect Forum.

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What is SDLC (Software Development Life Cycle)?

Openxcell

Software Development Life Cycle – Overview. SDLC stands for Software Development Life Cycle. System engineers and developers use them to plan for, design, build, test, and deliver information systems. Software Development Life Cycle is slightly complicated but very substantial.

SDLC 94