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What Is Generative AI and How Does It Work?

Backlinko

These models can produce various content formats, including code, text, visuals, audio, and video. Depending on the tool you use, you may be able to enter freeform, text-based prompts. For example, Semrushs Ecommerce Booster app generates ad descriptions based on keywords, text length, readability, tone of voice, and format settings.

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Prompt Engineering Explained: Crafting Better AI Interactions

Grammarly

A prompt is a natural language text input you provide to an AI model to specify the task you want it to complete. This clarity is particularly vital in high-stakes fields like healthcare, finance, and law, where understanding how a model reaches its conclusion ensures accuracy, builds trust, and supports informed decision-making.

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ChatGPT Plugins: The Complete List

Kristi Hines

AI2sql – A tool that translates natural language text into SQL queries. Appy Pie App Builder – An AI-enabled Text-to-App Generator that transforms your app concepts into functional Android and iOS apps via text input. Vivian Health – Start your search for your next healthcare employment opportunity.

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14 AI Trends to Watch For in 2025

Grammarly

Work smarter with Grammarly The AI writing partner for anyone with work to do Get Grammarly 1 Generic AI text loses value Generative AI is a victim of its own success: Its become so popular that it has reached a saturation point, and readers are starting to catch on. In 2025, this means specialized AI tools with advanced reasoning.

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Large Language Models (LLMs): What They Are and How They Work

Grammarly

For example, a LLM for the legal industry might be trained on legal texts, case law, and statutes to ensure it generates accurate, appropriate content. The flexibility provided by this architecture allows LLMs to generate more realistic and accurate text. Curated datasets are used to train LLMs for specific tasks.

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What Is Generative AI? A Comprehensive Guide

Grammarly

Generative AI refers to a specific branch of machine learning where models are trained on large amounts of raw data to create original outputs, whether it’s text, images, or other kinds of content. These techniques build a model of the tone properties of text, based on many examples, and then use that model to evaluate new inputs.

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Best Data Analysis Software

Neil Patel

The whole concept of business revolves around predictions and assumptions. Text Analysis Software. Text analysis tools allow your business to analyze text from social media accounts and documents. Contrary to popular belief, there are several types of data analysis software. We’ll discuss each kind in more detail below.