5 Essential Elements For workshop artificial intelligence
5 Essential Elements For workshop artificial intelligence
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We invite the submission of original and higher-high-quality analysis papers during the subject areas relevant to intersection of productive schooling and large-scale deployment of AI methods. The matters for SEAS 2025 include things like, but are usually not restricted to (you should begin to see the workshop Web-site For additional matters of curiosity):
Accessibility to researchers and collaboration among know-how-grounded autonomous scientific investigation types
AI workshops in 2025 promise to cater to a broad viewers, and these workshops are hosted by several of the most innovative providers and institutions.
The paper submissions need to be in pdf format and strictly make use of the AAAI official templates. All submissions need to be nameless and conform to AAAI expectations for double-blind evaluation.
We stimulate submissions underneath one of those subject areas of interest, but we also welcome other fascinating and appropriate investigation for getting ready excellent knowledge.
The workshop is open to all considering article-singularity symbiosis-similar matters, using an anticipated attendance of as much as fifty people today.
Combine and greatly enhance huge language styles (LLMs) working with RAG technological know-how to infuse intelligence into apps and chatbots.
What characteristics or Qualities will it have That may enable it to be a great/bad in good shape for distinct public missions?
Summarize what a prospect can hope through a standard task interview cycle, differing kinds of interviews, and the way to put together for interviews.
Extended Abstracts: Place or short description of Preliminary function (1 site, excluding references and appendices) or the release of privacy-preserving benchmarks and datasets within the subjects of curiosity.
Attendance: The workshop targets an audience keen on more info setting up with significant language products and we would like to see a broader AI community together with the planning Group.
We invite papers that concentrate on various elements of mitigating misinformation created by LLMs. Topics of fascination contain (but will not be restricted to):
Tensorial architecture style and design in deep learning for example polynomial representations that have emerged as a powerful-undertaking different to the typical neural Web- work paradigm;
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