Remove tag development-languages
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The complete guide to hiring a Full-Stack Developer using HackerEarth Assessments

Hacker Earth

Fullstack development roles became prominent around the early to mid-2010s. This emergence was largely driven by several factors, including the rapid evolution of web technologies, the increasing complexity of web applications, and the demand for more versatile developers capable of handling both client-side and server-side programming.

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10 most in-demand generative AI skills

CIO Business Intelligence

Natural language processing (NLP) Natural language processing (NLP) technology helps computers better understand human language to improve chatbots, AI assistants, automation, and other tasks. Language is constantly evolving, with nuances that can make AI-generated conversations feel unnatural, confusing, or robotic.

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The Twitch streamers fighting to keep minority languages alive

The Verge

Entertainment meets activism Minority languages are often associated with aging rural communities, thought to have fallen out of use or confined to textbooks. Recently, many of these languages have found new life from an unexpected source: video game streamers. million people in a tiny corner of Spain.

Groups 81
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Unlock Dynamic Reading with Our ePUB Reader SDK

Kitaboo

This is where the ePUB SDK (Software Development Kit), a comprehensive toolkit designed to empower developers to craft versatile eReader applications, comes in. With the ePUB SDK , you can develop and deploy a fully-fledged eBook reader app in a short span of time. present on the search bar.

eBook 60
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Technology Short Take 165

Scott Lowe

This post on Cedar—a new policy language developed by AWS—is an interesting read. I’m curious as to the constraints that led AWS to develop a new policy language versus using something like Rego (part of Open Policy Agent); this isn’t something the article touches upon. As fate (luck?)

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Do you really need GPT-4?

Dataconomy

This means developers can use it at $0.0015 per 1,000 input tokens and $0.002 per 1,000 output tokens, which breaks down to about 700 pages of text for a dollar. This is a feature that lets developers instruct the models to carry out specific programming functions. While the expanded GPT-3.5-turbo What is function calling?

Budget 77
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JSON is Robot Barf

Phil Windley

There are multiple libraries in every language for parsing. When a system requires programmers to use JSON, what they're effectively asking developers to use an "abstract" syntax instead of a "concrete" syntax. I suspect that even people who've studied CS aren't comfortable with parsing and developing notations.