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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207
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Sydney and the Bard

O'Reilly

It’s been well publicized that Google’s Bard made some factual errors when it was demoed, and Google paid for these mistakes with a significant drop in their stock price. Large language models like ChatGPT and Google’s LaMDA aren’t designed to give correct results. What are the next steps?

Google 84
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Core Web Vitals for Search Engine Optimisation: What Do We Need to Know?

CSS Wizardry

Google’s Core Web Vitals initiative was launched in May of 2020 and, since then, its role in Search has morphed and evolved as roll-outs have been made and feedback has been received. However, to this day, messaging from Google can seem somewhat unclear and, in places, even contradictory. Don’t have time to read 5,500+ words?

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To understand the risks posed by AI, follow the money

O'Reilly

The surest way to ignore such misalignment is by focusing exclusively on technical questions about AI model capabilities, divorced from the socio-economic environment in which these models will operate and be designed for profit. The internet protocols helped keep the internet open instead of closed. But it is far from alone.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design.

Big Data 321
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AI Powered Misinformation and Manipulation at Scale #GPT-3

O'Reilly

GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. Indeed, Google recently announced LaMDA , a model at GPT-3 scale that is designed to participate in conversations. And the final paragraph of section 3.9.4

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What Is a Workload in Cloud Computing

Scalegrid

Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible! Additionally.

Cloud 130