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  2. Beam search - Wikipedia

    en.wikipedia.org/wiki/Beam_search

    Beam search with width 3 (animation) In computer science, beam search is a heuristic search algorithm that explores a graph by expanding the most promising node in a limited set. Beam search is a modification of best-first search that reduces its memory requirements. Best-first search is a graph search which orders all partial solutions (states ...

  3. Top-p sampling - Wikipedia

    en.wikipedia.org/wiki/Top-p_sampling

    Top-p sampling, also called nucleus sampling, is a technique for autoregressive language model decoding proposed by Ari Holtzman in 2019. [1]Before the introduction of nucleus sampling, maximum likelihood decoding and beam search were the standard techniques for text generation, but, both of these decoding strategies are prone to generating texts that are repetitive and otherwise unnatural.

  4. Beam stack search - Wikipedia

    en.wikipedia.org/wiki/Beam_stack_search

    Beam stack search [1] is a search algorithm that combines chronological backtracking (that is, depth-first search) with beam search and is similar to depth-first beam search. [2] Both search algorithms are anytime algorithms that find good but likely sub-optimal solutions quickly, like beam search, then backtrack and continue to find improved ...

  5. Talk:Beam search - Wikipedia

    en.wikipedia.org/wiki/Talk:Beam_search

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  6. Flux (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Flux_(text-to-image_model)

    The tools consisting of Flux.1 Fill for inpainting and outpainting, Flux.1 Depth for control based on extracted depth map of input images and prompts, Flux.1 Canny for control based on extracted canny edges of input images and prompts, and Flux.1 Redux for mixing existing input images and prompts. Each tools are available in both Dev and Pro ...

  7. Text Template Transformation Toolkit - Wikipedia

    en.wikipedia.org/wiki/Text_Template...

    These text files can ultimately be any text format, such as code (for example C#), XML, HTML or XAML. T4 uses a custom template format which can contain .NET code and string literals in it, this is parsed by the T4 command line tool into .NET code, compiled and executed. The output of the executed code is the text file generated by the template ...

  8. List of text mining software - Wikipedia

    en.wikipedia.org/wiki/List_of_text_mining_software

    Mathematica – provides built in tools for text alignment, pattern matching, clustering and semantic analysis. See Wolfram Language, the programming language of Mathematica. MATLAB offers Text Analytics Toolbox for importing text data, converting it to numeric form for use in machine and deep learning, sentiment analysis and classification ...

  9. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Example of prompt engineering for text-to-image generation, with Fooocus In 2022, text-to-image models like DALL-E 2 , Stable Diffusion , and Midjourney were released to the public. [ 47 ] These models take text prompts as input and use them to generate AI-generated images .