Remove Reference Remove Scalability Remove System Design
article thumbnail

A Detailed Guide on Conducting Effective System Design Interviews

Hacker Earth Developers Blog

System design interviews are becoming increasingly popular, and important, as the digital systems we work with become more complex. The term ‘system’ here refers to any set of interdependent modules that work together for a common purpose. Uber, Instagram, and Twitter (now X) are all examples of ‘systems’.

article thumbnail

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.

article thumbnail

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

CIO

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. Cracking this code or aspect of cloud optimization is the most critical piece for enterprises to strike gold with the scalability of AI solutions.

Cloud 147
article thumbnail

Netflix’s Distributed Counter Abstraction

Netflix Tech

In this context, they refer to a count very close to accurate, presented with minimal delays. For more information regarding this, refer to our previous blog. Note : When it comes to distributed counters, terms such as ‘accurate’ or ‘precise’ should be taken with a grain of salt.

Windows 100
article thumbnail

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. .

article thumbnail

Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS CDK

AWS Machine Learning - AI

For installation instructions, refer to the AWS CDK workshop. This solution not only simplifies the deployment process, but also provides a scalable and efficient way to use the capabilities of RAG for question-answering systems. He specializes in generative AI, machine learning, and system design.

article thumbnail

Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock

AWS Machine Learning - AI

However, deploying customized FMs to support generative AI applications in a secure and scalable manner isn’t a trivial task. This is the first in a series of posts about model customization scenarios that can be imported into Amazon Bedrock to simplify the process of building scalable and secure generative AI applications.