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  2. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model. [ 1 ] A prompt is natural language text describing the task that an AI should perform. [ 2 ]

  3. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    While OpenAI did not release the fully-trained model or the corpora it was trained on, description of their methods in prior publications (and the free availability of underlying technology) made it possible for GPT-2 to be replicated by others as free software; one such replication, OpenGPT-2, was released in August 2019, in conjunction with a ...

  4. Wikipedia, the free encyclopedia

    en.wikipedia.org/wiki/Main_Page

    Free-content library. Wikispecies Directory of species. Wikiversity Free learning tools. Wikivoyage Free travel guide. Wiktionary Dictionary and thesaurus. Wikipedia ...

  5. Generative artificial intelligence - Wikipedia

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

    Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.

  6. Adobe Character Animator - Wikipedia

    en.wikipedia.org/wiki/Adobe_Character_Animator

    Adobe Character Animator is a desktop application software product that combines real-time live motion-capture with a multi-track recording system to control layered 2D puppets based on an illustration drawn in Photoshop or Illustrator.

  7. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

  8. Automatic bug fixing - Wikipedia

    en.wikipedia.org/wiki/Automatic_bug_fixing

    Automatic bug fixing is made according to a specification of the expected behavior which can be for instance a formal specification or a test suite. [5]A test-suite – the input/output pairs specify the functionality of the program, possibly captured in assertions can be used as a test oracle to drive the search.

  9. Prompt injection - Wikipedia

    en.wikipedia.org/wiki/Prompt_injection

    The term "prompt injection" was coined by Simon Willison in September 2022. [2] He distinguished it from jailbreaking, which bypasses an AI model's safeguards, whereas prompt injection exploits its inability to differentiate system instructions from user inputs. While some prompt injection attacks involve jailbreaking, they remain distinct ...

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