#knowledgemanagement — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #knowledgemanagement, aggregated by home.social.
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Same question, different user, different answer, by design!
An admin asks about executive pay and gets a cited answer. A regular employee asks the same and honestly gets none: your #MediaWiki chatbot only ever draws on pages the asking user may read.
No separate permission system: your wiki's existing permissions decide what it may use to answer. Confidential pages stay confidential.
Learn more at https://professional.wiki/en/mediawiki-ai-assistant
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Same question, different user, different answer, by design!
An admin asks about executive pay and gets a cited answer. A regular employee asks the same and honestly gets none: your #MediaWiki chatbot only ever draws on pages the asking user may read.
No separate permission system: your wiki's existing permissions decide what it may use to answer. Confidential pages stay confidential.
Learn more at https://professional.wiki/en/mediawiki-ai-assistant
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Same question, different user, different answer, by design!
An admin asks about executive pay and gets a cited answer. A regular employee asks the same and honestly gets none: your #MediaWiki chatbot only ever draws on pages the asking user may read.
No separate permission system: your wiki's existing permissions decide what it may use to answer. Confidential pages stay confidential.
Learn more at https://professional.wiki/en/mediawiki-ai-assistant
-
Same question, different user, different answer, by design!
An admin asks about executive pay and gets a cited answer. A regular employee asks the same and honestly gets none: your #MediaWiki chatbot only ever draws on pages the asking user may read.
No separate permission system: your wiki's existing permissions decide what it may use to answer. Confidential pages stay confidential.
Learn more at https://professional.wiki/en/mediawiki-ai-assistant
-
Same question, different user, different answer, by design!
An admin asks about executive pay and gets a cited answer. A regular employee asks the same and honestly gets none: your #MediaWiki chatbot only ever draws on pages the asking user may read.
No separate permission system: your wiki's existing permissions decide what it may use to answer. Confidential pages stay confidential.
Learn more at https://professional.wiki/en/mediawiki-ai-assistant
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Large language models are trained on massive datasets of human writing. Shakespeare, the philosophers, Einstein's papers, and who knows, maybe even my blog.
So what many of us think of as our most cutting-edge technology learns by using an invention that is roughly 5,500 years old.
From this week's post: https://www.ctnet.co.uk/most-important-invention-writing/
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Large language models are trained on massive datasets of human writing. Shakespeare, the philosophers, Einstein's papers, and who knows, maybe even my blog.
So what many of us think of as our most cutting-edge technology learns by using an invention that is roughly 5,500 years old.
From this week's post: https://www.ctnet.co.uk/most-important-invention-writing/
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Large language models are trained on massive datasets of human writing. Shakespeare, the philosophers, Einstein's papers, and who knows, maybe even my blog.
So what many of us think of as our most cutting-edge technology learns by using an invention that is roughly 5,500 years old.
From this week's post: https://www.ctnet.co.uk/most-important-invention-writing/
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Large language models are trained on massive datasets of human writing. Shakespeare, the philosophers, Einstein's papers, and who knows, maybe even my blog.
So what many of us think of as our most cutting-edge technology learns by using an invention that is roughly 5,500 years old.
From this week's post: https://www.ctnet.co.uk/most-important-invention-writing/
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Large language models are trained on massive datasets of human writing. Shakespeare, the philosophers, Einstein's papers, and who knows, maybe even my blog.
So what many of us think of as our most cutting-edge technology learns by using an invention that is roughly 5,500 years old.
From this week's post: https://www.ctnet.co.uk/most-important-invention-writing/
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A file is rarely useful on its own.
People also need to know why it exists, who owns it, which process it belongs to, who can edit it and whether it is still current.
That is the interesting part of combining @CollaboraOffice with XWiki: office documents stay editable, but they also live inside a structured knowledge context.
Join the free webinar we're hosting with Collabora and learn how:
https://xwiki.com/en/webinars/Break-down-knowledge-silos-with-XWiki-and-Collabora
#OpenSource #KnowledgeManagement -
@rpi Echt? Word- und Tag-Clouds gibt es noch? Das würde mich freuen.
/cf. "Tagging – ein sozialer Tag-Traum?" (2008) https://mprove.de/script/08/gmw/index.html
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@rpi Echt? Word- und Tag-Clouds gibt es noch? Das würde mich freuen.
/cf. "Tagging – ein sozialer Tag-Traum?" (2008) https://mprove.de/script/08/gmw/index.html
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@rpi Echt? Word- und Tag-Clouds gibt es noch? Das würde mich freuen.
/cf. "Tagging – ein sozialer Tag-Traum?" (2008) https://mprove.de/script/08/gmw/index.html
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@rpi Echt? Word- und Tag-Clouds gibt es noch? Das würde mich freuen.
/cf. "Tagging – ein sozialer Tag-Traum?" (2008) https://mprove.de/script/08/gmw/index.html