Search: concept

. == Best Practices == * ((({{version since="11.3RC1"}}There's now the concept of a Syntax Registry and new Syntaxes are expected to register themselves in that registry.

Another point of difference between these apps is that Coda has the concept of "Document" and "Pages". While Notion and Outline only have "Pages" Of course, there are other apps in this category, like Anytype, released as a beta in June 2023.

But if our general UX can be close to these apps, users should have an easier time adapting to Cristal. Some of these concepts are different from XWiki Standard so, if a user comes from there, maybe more time would be necessary to adapt.

Another point of difference between these apps is that Coda has the concept of "Document" and "Pages". While Notion and Outline only have "Pages" Of course, there are other apps in this category, like Anytype, released as a beta in June 2023.

But if our general UX can be close to these apps, users should have an easier time adapting to Cristal. Some of these concepts are different from XWiki Standard so, if a user comes from there, maybe more time would be necessary to adapt.

Webpack module federation webpack Module Federation: https://webpack.js.org/concepts/module-federation/ It seems possible to bundle multiple apps as webpack packages which can load each other.

= Webpack module federation = * webpack Module Federation: [[https:~~/~~/webpack.js.org/concepts/module-federation/>>https://webpack.js.org/concepts/module-federation/]] It seems possible to bundle multiple apps as webpack packages which can load each other.

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Cristal Wiki UI / Client Cristal Wiki UI / Client The JS backend exposes endpoints similar to the XWiki script services to the frontend The JS backend exposes endpoints similar to the XWiki script services to the frontend JS Backend - Native Javascript or compilable JS / WebAssembly Provides the same concepts as in XWiki in terms of component-based architecture and separation between API and implementation. JS Backend - Native Javascript or compilable JS / WebAssembly Provides the same concepts as in XWiki in terms of component-based architecture and separation between API and implementation.

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The JS backend exposes endpoints similar to the XWiki script services to the frontend The JS backend exposes endpoints similar to the XWiki script services to the frontend JS Backend - Native Javascirpt Provides the same concepts as in XWiki in terms of component-based architecture and separation between API and implementation. JS Backend - Native Javascirpt Provides the same concepts as in XWiki in terms of component-based architecture and separation between API and implementation.

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XWiki's Concept

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{{velocity}} $xwiki.ssx.use("xwiki:Documentation.UserGuide.Features.SecondGenerationWiki.WebHome") $xwiki.ssx.use("design:Proposal.XWikiOrgConcept.SecondGenerationWiki.WebHome") {{/velocity}} {{html wiki="true"}} <div class="row concept"> <div class="col-md-9"> First generation wikis are used to collaborate on content.

</h4> <div class="w-sectionbox"> Chris Anderson introduced the concept of [[Long Tail>>http://en.wikipedia.org/wiki/Long_tail]].

Annoucement here: https://stability.ai/blog/stability-ai-launches-the-first-of-its-stablelm-suite-of-language-models https://github.com/stability-AI/stableLM/ As a proof-of-concept, we also fine-tuned the model with Stanford Alpaca's procedure using a combination of five recent datasets for conversational agents: Stanford's Alpaca, Nomic-AI's gpt4all, RyokoAI's ShareGPT52K datasets, Databricks labs' Dolly, and Anthropic's HH.

In order to solve these risks, Open access will be key. This concept is very interesting and it would make a lot of sense to join them and do something similar and ideally the same.

Annoucement here: [[https:~~/~~/stability.ai/blog/stability-ai-launches-the-first-of-its-stablelm-suite-of-language-models>>https://stability.ai/blog/stability-ai-launches-the-first-of-its-stablelm-suite-of-language-models]] [[https:~~/~~/github.com/stability-AI/stableLM/>>https://github.com/stability-AI/stableLM/]] As a proof-of-concept, we also fine-tuned the model with [[Stanford Alpaca>>url:https://github.com/tatsu-lab/stanford_alpaca]]'s procedure using a combination of five recent datasets for conversational agents: Stanford's [[Alpaca>>url:https://github.com/tatsu-lab/stanford_alpaca]], Nomic-AI's [[gpt4all>>url:https://github.com/nomic-ai/gpt4all]], RyokoAI's [[ShareGPT52K>>url:https://huggingface.co/datasets/RyokoAI/ShareGPT52K]] datasets, Databricks labs' [[Dolly>>url:https://github.com/databrickslabs/dolly]], and Anthropic's [[HH>>url:https://github.com/anthropics/hh-rlhf]].

In order to solve these risks, Open access will be key. This concept is very interesting and it would make a lot of sense to join them and do something similar and ideally the same.