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  2. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    Founded in 2022, Perplexity generates answers using sources from the web and cites links within the text response. [5] Perplexity works on a freemium model; the free product uses the company's standalone LLM based on GPT-3.5 with browsing , [ 6 ] while the paid version Perplexity Pro has access to GPT-4 , Claude 3.5 , Grok-2 , Llama 3 and in ...

  3. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative artificial intelligence (AI) model. [ 1 ] [ 2 ] A prompt is natural language text describing the task that an AI should perform. [ 3 ]

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    A paper published by researchers at Amazon Web Services AI Labs found that over 57% of sentences from a sample of over 6 billion sentences from Common Crawl, a snapshot of web pages, were machine translated. Many of these automated translations were seen as lower quality, especially for sentences were translated across at least three languages.

  5. Reddit tests AI-powered feature to answer user queries - AOL

    www.aol.com/news/reddit-tests-ai-powered-feature...

    The feature would make it easier for users to find information posted on the platform while helping Reddit compete better with search engine rivals and AI startups such as ChatGPT-maker OpenAI and ...

  6. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In 2022, the output of state-of-the-art text-to-image models—such as OpenAI's DALL-E 2 , Google Brain 's Imagen , Stability AI's Stable Diffusion , and Midjourney —began to be considered to ...

  7. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP) that is concerned with building systems that automatically answer questions that are posed by humans in a natural language.

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