lysander07, to ai

📢 Check out the call for papers for the special issue of the new Neurosymbolic AI Journal on "Knowledge Graphs and Neurosymbolic AI".
📌 Deadline May 31, 2024.
📗Contributions may include full papers, dataset descriptions, survey papers, application reports and reports on tools and systems.
Editors: Marta Sabou, Raghava Mutharaju, Frank van Harmelen

https://neurosymbolic-ai-journal.com/content/call-papers-special-issue-knowledge-graphs-and-neurosymbolic-ai

#neurosymbolicAI #AI #knowledgeengineering #knowledgegraphs #semanticweb #machinelearning #humancentric
via #linkedIn

tero, to llm
@tero@rukii.net avatar

for systems whether chatbots or backend components is very important for trustworthiness and debugging.

One of the most effective ways to do it is to make the chatbot refer to sources of facts. Tag every RAG document partial with an anchor, and tell the chatbot refer to them. Then you can show in a final presentation a link to the document part used.

In a document index you similarly want to include metadata for partials, so that a user can click "show the whole document" and navigate the information if they want to see where the content came from.

It's all very well explainable but requires a bit of work in and .

alexrind, to ArtificialIntelligence
@alexrind@vis.social avatar

we have a few open positions for junior researchers / PhD students in a forthcoming research center on Knowledge-Assisted Visual Analytics for Industrial Manufacturing at the
St. Poelten University of Applied Sciences, starting in January 2024.

Advert (in German only right now): https://www.fhstp.ac.at/de/offene-stellen-karriere/junior-researcher-knowledge-assisted-visual-analytics-industrial-data-engineering-305103

You may contact me for details.

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