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  2. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    JSON is promoted as a low-overhead alternative to XML as both of these formats have widespread support for creation, reading, and decoding in the real-world ...

  3. JSON streaming - Wikipedia

    en.wikipedia.org/wiki/JSON_streaming

    JSON streaming comprises communications protocols to delimit JSON objects built upon lower-level stream-oriented protocols (such as TCP), that ensures individual JSON objects are recognized, when the server and clients use the same one (e.g. implicitly coded in). This is necessary as JSON is a non-concatenative protocol (the concatenation of ...

  4. Douglas Crockford - Wikipedia

    en.wikipedia.org/wiki/Douglas_Crockford

    During his time at State Software, Crockford popularized the JSON data format, based upon existing JavaScript language constructs, as a lightweight alternative to XML. He obtained the domain name json.org in 2002, and put up his description of the format there. [10] In July 2006, he specified the format officially, as RFC 4627. [11]

  5. Stack Overflow - Wikipedia

    en.wikipedia.org/wiki/Stack_Overflow

    The website was created by Jeff Atwood and Joel Spolsky in 2008. [5] The name for the website was chosen by voting in April 2008 by readers of Coding Horror, Atwood's programming blog. [18]

  6. API - Wikipedia

    en.wikipedia.org/wiki/API

    An application programming interface (API) is a connection between computers or between computer programs.It is a type of software interface, offering a service to other pieces of software. [1]

  7. A celebrity trainer’s 28-day plan to transform your mindset ...

    www.aol.com/celebrity-trainer-28-day-plan...

    Ngo Okafor, a celebrity trainer and founder of Iconoclast Fitness, a private training gym in New York City, has designed a well-rounded fitness plan that will sculpt lean muscle, improve your ...

  8. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    Project Jupyter (/ ˈ dʒ uː p ɪ t ər / ⓘ) is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages.

  9. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.

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