ContentPosts from @cchiruka2..
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@beacampos shared a post, 2 years, 4 months ago
Mailtrap

Mail Merge explained [with use cases + tutorials]

In this guide, we explain mail merge in detail. We discuss its use cases and provide a step-by-step tutorial on Microsoft 365 and Google Editors.

mailtrap mail merge
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@prathamesh-sonpatki shared a link, 2 years, 4 months ago
SRE, Last9.io

OpenTelemetry for Dummies ELI5

OpenTelemetry for Dummies ELI5
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@prathamesh-sonpatki shared a link, 2 years, 4 months ago
SRE, Last9.io

How to make high cardinality work in time series databases: Part 1

How to make high cardinality work in time series databases: Part 1
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@dridhone shared a post, 2 years, 5 months ago
Founder, www.dridhon.com

Top 22 Java Design Patterns Interview Questions & Answers (2021)

Top 22 Java Design Patterns Interview Questions & Answers (2021)1) Explain what is Java Design Pattern?A design pattern is a language independent strategy for solving common object-oriented design problem. It describes how to structure classes to meet a given requirement.2) Explain what is creat..

Top 22 Java Design Patterns Interview Questions & Answers (2021)
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@prathamesh-sonpatki shared a link, 2 years, 5 months ago
SRE, Last9.io

Webinar: Embracing Declarative Provisioning and Observability in cloud environments

Terraform AWS EKS Prometheus

Join us on 20th July at 9 AM PDT for a webinar on Declarative Provisioning and Observability with Pravanjan Choudhury.

Webinar: Embracing Declarative Provisioning and Observability in cloud environments
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@windy shared a link, 2 years, 5 months ago

Top 10 proven approaches to Package ML Model & Deploy for inferencing

Python

Deploying machine learning models into production requires selecting the right platform based on your needs. Managed cloud services provide end-to-end scaling while open source options offer flexibility. With proper preparation, your model can serve real-time, low-latency predictions at scale.

Top 10 proven approaches to Package ML Model & Deploy for inferencing
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@faun shared a link, 2 years, 5 months ago
FAUN.dev()

Mechanical Turk workers are using AI to automate being human

Mechanical Turk, a service allowing users to divide tasks for humans to perform, has been found to have nearly half of its workers using AI models to complete tasks intended for humans. This raises concerns about the reliability of human data and highlights the growing issue of AI training on AI-gen.. read more  

Mechanical Turk workers are using AI to automate being human
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@faun shared a link, 2 years, 5 months ago
FAUN.dev()

AWS pledges $100M to launch generative AI innovation center

AWS will invest $100 million to launch the AWS Generative AI Innovation Center, aimed at helping customers build and launch generative AI products, services, and processes. The center will connect customers with AWS experts in AI and ML, providing guidance and cost-effective generative AI services f.. read more  

AWS pledges $100M to launch generative AI innovation center
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@faun shared a link, 2 years, 5 months ago
FAUN.dev()

Can you trust ChatGPT’s package recommendations?

Attackers can exploit ChatGPT's tendency for hallucination to spread malicious packages, taking advantage of developers' reliance on the AI model for coding solutions. The issue arises from ChatGPT's recommendations of non-existent or outdated code libraries, allowing attackers to publish their own .. read more  

Can you trust ChatGPT’s package recommendations?
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@faun shared a link, 2 years, 5 months ago
FAUN.dev()

Building Real-time Machine Learning Foundations at Lyft

Lyft had a Machine Learning Platform called LyftLearn, but it lacked support for streaming data in many of its systems. To address this, Lyft initiated the Real-time Machine Learning with Streaming initiative to enable developers to efficiently build and enhance models with streaming data. They iden.. read more