Generative artificial intelligence in the context of "DeepSeek (chatbot)"

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⭐ Core Definition: Generative artificial intelligence

Generative artificial intelligence (Generative AI, or GenAI) is a subfield of artificial intelligence that uses generative models to produce text, images, videos, audio, software code or other forms of data. These models learn the underlying patterns and structures of their training data and use them to produce new data based on the input, which often comes in the form of natural language prompts.

Generative AI tools have become more common since the AI boom in the 2020s. This boom was made possible by improvements in transformer-based deep neural networks, particularly large language models (LLMs). Major tools include chatbots such as ChatGPT, Copilot, Gemini, Claude, Grok, and DeepSeek; text-to-image models such as Stable Diffusion, Midjourney, and DALL-E; and text-to-video models such as Veo and Sora. Technology companies developing generative AI include OpenAI, xAI, Anthropic, Meta AI, Microsoft, Google, Mistral AI, DeepSeek, Baidu and Yandex.

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Generative artificial intelligence in the context of Grammarly

Grammarly is an American English language writing assistant software tool. It reviews the spelling, grammar, and tone of a piece of writing as well as identifying possible instances of plagiarism. It can also suggest style and tonal recommendations to users and produce writing from prompts with its generative AI capabilities.

Grammarly was developed in Ukraine and launched in 2009 by Alex Shevchenko [uk], Max Lytvyn [uk], and Dmytro Lider. It is available as a standalone application; a browser extension for Chrome, Safari, and Firefox; and as an add-on for Google Docs.

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Generative artificial intelligence in the context of Artificial intelligence

Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.

High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., language models and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go). However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore."

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Generative artificial intelligence in the context of Disruptive innovation

In business theory, disruptive innovation is innovation that creates a new market and value network or enters at the bottom of an existing market and eventually displaces established market-leading firms, products, and alliances. The term, "disruptive innovation" was popularized by the American academic Clayton Christensen and his collaborators beginning in 1995, but the concept had been previously described in Richard N. Foster's book Innovation: The Attacker's Advantage and in the paper "Strategic responses to technological threats", as well as by Joseph Schumpeter in the book Capitalism, Socialism and Democracy (as creative destruction).

Not all innovations are disruptive, even if they are revolutionary. For example, the first automobiles in the late 19th century were not a disruptive innovation, because early automobiles were expensive luxury items that did not disrupt the market for horse-drawn vehicles. The market for transportation essentially remained intact until the debut of the lower-priced Ford Model T in 1908. The mass-produced automobile was a disruptive innovation, because it changed the transportation market, whereas the first thirty years of automobiles did not. Generative artificial intelligence is expected to have a revolutionary impact on the way humans interact with technology. There is much excitement about its potential, but also worries about its possible negative impact on labor markets across many industries. However, the real-world impacts on labor markets remain to be seen.

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Generative artificial intelligence in the context of Large language model

A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pre-trained transformers (GPTs) and provide the core capabilities of modern chatbots. LLMs can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding syntax, semantics, and ontologies inherent in human language corpora, but they also inherit inaccuracies and biases present in the data they are trained on.

They consist of billions to trillions of parameters and operate as general-purpose sequence models, generating, summarizing, translating, and reasoning over text. LLMs represent a significant new technology in their ability to generalize across tasks with minimal task-specific supervision, enabling capabilities like conversational agents, code generation, knowledge retrieval, and automated reasoning that previously required bespoke systems.

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Generative artificial intelligence in the context of Chatbot

A chatbot (originally chatterbot) is a software application or web interface designed to have textual or spoken conversations. Modern chatbots are typically online and use generative artificial intelligence systems that are capable of maintaining a conversation with a user in natural language and simulating the way a human would behave as a conversational partner. Such chatbots often use deep learning and natural language processing, but simpler chatbots have existed for decades.

Chatbots have increased in popularity as part of the AI boom of the 2020s, and the popularity of ChatGPT, followed by competitors such as Gemini, Claude and later Grok. AI chatbots typically use a foundational large language model, such as GPT-4 or the Gemini language model, which is fine-tuned for specific uses.

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Generative artificial intelligence in the context of ChatGPT

ChatGPT is a generative artificial intelligence chatbot developed by OpenAI, and released in November 2022. It uses a generative pre-trained transformer (GPT), to generate text, speech, and images in response to user prompts. It is credited with accelerating the AI boom, an ongoing period marked by rapid investment and public attention toward the field of artificial intelligence (AI). OpenAI operates the service on a freemium model. Users can interact with ChatGPT through text, audio, and image prompts.

The service gained 100 million users in two months making it the fastest-growing consumer software application in history. ChatGPT's website is among the top 5 most-visited websites globally, It has been lauded for its potential to transform numerous professional fields, and instigated public debate about the nature of creativity and the future of knowledge work.

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Generative artificial intelligence in the context of Théâtre D'opéra Spatial

Théâtre D'opéra Spatial (pronounced [teɑtʁ dɔpeʁa spasjal]; French for 'Space Opera Theater') is a digital arts piece generated and edited by an American man named Jason M. Allen with the generative artificial intelligence (GAI) model Midjourney. It won the 2022 Colorado State Fair's annual fine art competition in the "emerging artist" (non-professional) division of the "Digital Arts/Digitally-Manipulated Photography" category on August 29, becoming one of the first images made using GAI to win such a prize. The award came with a $300 cash prize.

Allen said he used at least 624 text prompts and revisions as inputs for Midjourney to create the initial image. He then edited it with Adobe Photoshop and upscaled it using a tool called Gigapixel AI.

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