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MIT OpenCourseWare. MIT OpenCourseWare ( MIT OCW) is an initiative of the Massachusetts Institute of Technology (MIT) to publish all of the educational materials from its undergraduate - and graduate-level courses online, freely and openly available to anyone, anywhere. The project was announced on April 4, 2001, [1] and uses Creative Commons ...
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [70] and metaobjects ). [71] Many other paradigms are supported via extensions, including design by ...
PDFtk (short for PDF Toolkit) is a toolkit for manipulating Portable Document Format (PDF) documents. [3] [4] It runs on Linux, Windows and macOS. [5] It comes in three versions: PDFtk Server ( open-source command-line tool ), PDFtk Free ( freeware) and PDFtk Pro ( proprietary paid ). [2] It is able to concatenate, shuffle, split and rotate PDF ...
e. Machine learning ( ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data and thus perform tasks without explicit instructions. [1] Recently, artificial neural networks have been able to surpass many previous approaches in ...
moodle.com. Moodle ( / ˈmuːdəl / MOO-dəl) is a free and open-source learning management system written in PHP and distributed under the GNU General Public License. [3] [4] Moodle is used for blended learning, distance education, flipped classroom and other online learning projects in schools, universities, workplaces and other sectors.
Python 3.0 broke backward compatibility, and much Python 2 code does not run unmodified on Python 3. Python's dynamic typing combined with the plans to change the semantics of certain methods of dictionaries, for example, made perfect mechanical translation from Python 2.x to Python 3.0 very difficult. A tool called "2to3" does the parts of ...
Data scientists often work with unstructured data such as text or images and use machine learning algorithms to build predictive models and make data-driven decisions. In addition to statistical analysis , data science often involves tasks such as data preprocessing , feature engineering , and model selection.
LLaMA's developers focused their effort on scaling the model's performance by increasing the volume of training data, rather than the number of parameters, reasoning that the dominating cost for LLMs is from doing inference on the trained model rather than the computational cost of the training process.
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