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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

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. The user prompt is then routed to the LLM associated with the task category of the reference prompt that has the closest match.

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

CIO

This includes the creation of landing zones, defining the VPN, gateway connections, network policies, storage policies, hosting key services within a private subnet and setting up the right IAM policies (resource policies, setting up the organization, deletion policies).

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Why The Next Phase of AI Adoption Hinges On AI-Enablers 

Crunchbase News

This led to the rise of software infrastructure companies providing technologies such as database systems, networking infrastructure, security solutions and enterprise-grade storage. The resource management tools we call AI enablers make it easier to use databases, streaming, storage and caching.

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Netflix’s Distributed Counter Abstraction

Netflix Tech

In this context, they refer to a count very close to accurate, presented with minimal delays. After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. For more information regarding this, refer to our previous blog.

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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

Solution overview This section outlines the architecture designed for an email support system using generative AI. High Level System Design The solution consists of the following components: Email service – This component manages incoming and outgoing customer emails, serving as the primary interface for email communications.

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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. . Amazons operating margin in 2023 was 6.4%.

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High-performance computing on AWS

Xebia

Key features of AWS Batch Efficient Resource Management: AWS Batch automatically provisions the required resources, such as compute instances and storage, based on job requirements. This enables you to build end-to-end workflows that leverage the full range of AWS capabilities for data processing, storage, and analytics.

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