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  2. llama.cpp - Wikipedia

    en.wikipedia.org/wiki/Llama.cpp

    llama.cpp is an open source software library that performs inference on various large language models such as Llama. [3] It is co-developed alongside the GGML project, a general-purpose tensor library. [4] Command-line tools are included with the library, [5] alongside a server with a simple web interface. [6] [7]

  3. Llama (language model) - Wikipedia

    en.wikipedia.org/wiki/Llama_(language_model)

    Software developer Georgi Gerganov released llama.cpp as open-source on March 10, 2023. It's a re-implementation of LLaMA in C++, allowing systems without a powerful GPU to run the model locally. [60] The llama.cpp project introduced the GGUF file format, a binary format that stores both tensors and metadata. [61]

  4. Rocket U2 - Wikipedia

    en.wikipedia.org/wiki/Rocket_U2

    Rocket U2 is a suite of database management (DBMS) and supporting software now owned by Rocket Software. It includes two MultiValue database platforms: UniData and UniVerse . [ 1 ] Both of these products are operating environments which run on current Unix , Linux and Windows operating systems .

  5. Structured prediction - Wikipedia

    en.wikipedia.org/wiki/Structured_prediction

    This can be seen as a structured prediction problem [2] in which the structured output domain is the set of all possible parse trees. Structured prediction is used in a wide variety of domains including bioinformatics , natural language processing (NLP), speech recognition , and computer vision .

  6. OmniMark - Wikipedia

    en.wikipedia.org/wiki/OmniMark

    OmniMark treats input as a flow that can be scanned once, rather than as a static collection of data that supports random access. Much of an OmniMark program is in the form of condition=>action rule where the condition recognizes a length of data to be acted upon and the action specifies what is to be done with the data.

  7. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    Structured support-vector machine is an extension of the traditional SVM model. While the SVM model is primarily designed for binary classification, multiclass classification, and regression tasks, structured SVM broadens its application to handle general structured output labels, for example parse trees, classification with taxonomies ...

  8. AOL Mail

    mail.aol.com/?rp=webmail-std/en-us/basic

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. GPT-4o - Wikipedia

    en.wikipedia.org/wiki/GPT-4o

    The price after fine-tuning doubles: $0.3 per million input tokens and $1.2 per million output tokens. [ 23 ] GPT-4o mini is the default model for users not logged in who use ChatGPT as guests and those who have hit the limit for GPT-4o.