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  2. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Question answering systems in the context of [vague] machine reading applications have also been constructed in the medical domain, for instance related to [vague] Alzheimer's disease. [3] Open-domain question answering deals with questions about nearly anything and can only rely on general ontologies and world knowledge. Systems designed for ...

  3. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    Search both internal files and web content [10] Asks the user clarifying questions to refine queries; Enables users to upload and analyze local files, including images; Has access to GPT-4, Claude 3.5, Grok-2, Llama 3 and in-house Perplexity LLMs [11] [4] [2] Able to generate images using AI via Playground v3, DALL-E, Stable Diffusion and FLUX 1

  4. Comparison of parser generators - Wikipedia

    en.wikipedia.org/.../Comparison_of_parser_generators

    A classic example of a problem which a regular grammar cannot handle is the question of whether a given string contains correctly nested parentheses. (This is typically handled by a Chomsky Type 2 grammar, also termed a context-free grammar.)

  5. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [4]

  6. Flex (lexical analyser generator) - Wikipedia

    en.wikipedia.org/wiki/Flex_(lexical_analyser...

    Flex (fast lexical analyzer generator) is a free and open-source software alternative to lex. [2] It is a computer program that generates lexical analyzers (also known as "scanners" or "lexers").

  7. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

  8. When does 'No Good Deed' come out? How to watch Ray ... - AOL

    www.aol.com/does-no-good-deed-come-200044366.html

    Featuring Lisa Kudrow and Ray Romano, Netflix's new dark comedy "No Good Deed" is "about the highs and lows of searching for a safe, happy home."

  9. Generative artificial intelligence - Wikipedia

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

    Generative AI can also be trained extensively on audio clips to produce natural-sounding speech synthesis and text-to-speech capabilities, exemplified by ElevenLabs' context-aware synthesis tools or Meta Platform's Voicebox. [55] AI-generated music from the Riffusion Inference Server, prompted with bossa nova with electric guitar