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Place {{Spaceflight lists and timelines}} at the end of an article, but above any categories.. This template's initial visibility currently defaults to autocollapse, meaning that if there is another collapsible item on the page (a navbox, sidebar, or table with the collapsible attribute), it is hidden apart from its title bar; if not, it is fully visible.
This is a category of templates that generate timelines. A few of them are a specific timeline used in one article context. Others are parameterizable templates, used to generate a particular type of timeline visualization, in multiple contexts.
If the template has a separate documentation page (usually called "Template:template name/doc"), add [[Category:Graphical timeline templates]] to the <includeonly> section at the bottom of that page.
This page is a timeline of machine learning. Major discoveries, achievements, milestones and other major events in machine learning are included. Overview.
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
You can set the switch |help=on in the template to produce some quick pointers. When you are getting started, you might want to use {{Graphical timeline|help=on}} to generate a ready-made, empty template – or type {{subst:Graphical timeline/blank}} into a sandbox page, save the page, and edit the resulting code. Hopefully, the parameter names ...
LangChain was launched in October 2022 as an open source project by Harrison Chase, while working at machine learning startup Robust Intelligence. The project quickly garnered popularity, [3] with improvements from hundreds of contributors on GitHub, trending discussions on Twitter, lively activity on the project's Discord server, many YouTube tutorials, and meetups in San Francisco and London.
A language model is a model of natural language. [1] Language models are useful for a variety of tasks, including speech recognition [2], machine translation, [3] natural language generation (generating more human-like text), optical character recognition, route optimization, [4] handwriting recognition, [5] grammar induction, [6] and information retrieval.
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