Amazon SQS Reviews

Apple Machine Learning Journal Reviews

Amazon SQS mentions (65)

• Event-Driven Architecture on AWS

  Event Routers: Services like Amazon SQS (A managed message queuing), Amazon SNS (A pub/sub messaging), AWS Step Functions (An orchestrate serverless workflows) and Amazon EventBridge (A serverless event bus) act as event routers, establishing the paths and flow for messages within the architecture. They enable seamless handling and distribution of events, ensuring that each message reaches its intended destination... - Source: dev.to / 26 days ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  SQS - 1 million messaging queue requests. - Source: dev.to / 4 months ago

• Building Mature Content Detection for Mod Tools

  The last stage is productionizing the model. The goal of this phase is to create a system to process each image/video, gather the relevant features and inputs to the models, integrate the models into a hosting service, and relay the corresponding model predictions to downstream consumers like the MCF system. We used an existing Safety service, Content Classification Service, to implement the aforementioned system... Source: 6 months ago

• Testing Serverless Applications on AWS

  For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 7 months ago

• The Role of Queues in Building Efficient Distributed Applications

  Amazon SQS is a fully managed message queue service that provides a reliable and scalable solution for asynchronous messaging between distributed components and microservices. - Source: dev.to / 10 months ago

Apple Machine Learning Journal mentions (6)

• Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]

  For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago

• Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?

  We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago

• Apple’s secrecy created engineer burnout

  They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago

• [D] Is anyone working on open-sourcing Dall-E 2?

  They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago

• How does Apple achieve both secrecy and quality for a release?

  Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago