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  2. Local search (optimization) - Wikipedia

    en.wikipedia.org/wiki/Local_search_(optimization)

    Local search is an anytime algorithm; it can return a valid solution even if it's interrupted at any time after finding the first valid solution. Local search is typically an approximation or incomplete algorithm because the search may stop even if the current best solution found is not optimal. This can happen even if termination happens ...

  3. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [3] Its developer, Perplexity AI, Inc., is based in San Francisco, California .

  4. Devin AI - Wikipedia

    en.wikipedia.org/wiki/Devin_AI

    Devin AI is an autonomous artificial intelligence assistant tool created by Cognition Labs. Branded as an "AI software developer", [1] the demo tool is designed to complete software development tasks. The tool has received praise, concern, and skepticism over implications surrounding the future of artificial intelligence and software development.

  5. List of search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_search_engines

    Major desktop search program. The full trial version downgrades after the trial period automatically to the free version, which is (anno 2018) limited to indexing a maximum of 10.000 files. Proprietary (30 day trial) DocFetcher: Cross-platform Open-source desktop search tool for Windows and Linux, based on Apache Lucene: Eclipse Public License

  6. AOL

    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web. AOL.

  7. Guided local search - Wikipedia

    en.wikipedia.org/wiki/Guided_local_search

    Guided local search is a metaheuristic search method. A meta-heuristic method is a method that sits on top of a local search algorithm to change its behavior. Guided local search builds up penalties during a search. It uses penalties to help local search algorithms escape from local minima and plateaus.