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Based on facts from our latest AI Survey, we would conclude a large number of at UMW are unsure about AI and what it means for instructing and learning. After a quick evaluation of your survey success, We'll dive right in that will help participants begin employing a substantial language design (LLM) AI.This workshop welcomes contributions in direction of development and enhancement of datasets and benchmarks utilized for analysis of basic safety of AI methods (specifically LLMs) based on the traits detailed above. The work is often theoretical (new methods to building datasets or proving a dataset’s adequacy for your job) or useful (suggesting new datasets, examining the validity of existing datasets, increasing current datasets).
Superintelligence steering: Producing functional ways to affect superintelligence in strategies fascinating for humanity
Similar approaches: deep Finding out; reinforcement Finding out; inductive logic programming; classical scheduling; heuristic search; and neuro-symbolic strategies.
We would like to Categorical our honest gratitude to our technical program committee for generously volunteering their time and abilities to critique submissions for our workshop.
Besides the next investigation themes, we encourage novel contributions from researchers that bring distinct Views over the core emphasis of your workshop:
It doesn’t subject regardless if you are new to AI or possibly a seasoned professional, attending these workshops will cater to all expertise degrees. All of the novices participating in an AI workshop can grasp foundational competencies in device Finding out and neural networks, although all of the Sophisticated individuals can examine specialised topics like deep Studying, normal language processing and reinforcement Studying.
It's arranged by CECAM and it targets scientists who have an interest in computational chemistry and material science by offering insights into how AI can aid theoretical advancements and precision in DFT apps.
Several of the precise areas we want to gain an even better knowing in include: what LLMs can add to preparing, how LLMs can/must be used, What exactly are the pitfalls of making use of LLMs, What exactly are the assures that can be obtained.
The more info purpose is to grasp much better how cognitive modeling can greatly enhance cooperation in between people and AI brokers, particularly in intricate, significant-stakes scenarios.
Personalization. Investigation into purposes of reinforcement Finding out, advice units, and information tracing to individualized adaptive curricula and computerized adaptive tests;
It aims to cross among use-encouraged foundational analysis, utilized study, and situation-reports that document productive processes by which AI continues to be deployed and responsibly governed.
We solicit fascination from AI researchers that work inside the intersection of preparing and reinforcement Mastering, especially, Individuals that focus on clever determination-earning. This is actually the eighth version on the PRL workshop collection.
Submission specifications differ for each workshop. Submissions are a result of the organizers on November 22, 2024 (remember to Verify specific workshop Web sites for extensions). Please submit your papers for assessment straight to the individual workshop Based on their Instructions. Tend not to mail submissions to AAAI.