How easy is to persuade a large language model?
The Interchange Forum for Reflecting on
Intelligent Systems (IRIS @Stuttgart_IRIS @Uni_Stuttgart) invites all interested students and university staff to their next IRIS colloquium on March 26 at 2 PM in the room UN 302.101, where Mara Seyfert will talk about uncertainty and robustness against persuasion in large language models.
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#LLM ) oder bei #generativeKI Sie können einzelne Trainingsschritte ersetzen – und damit den #Energieverbrauch deutlich senken: https://www.tum.de/en/news-and-events/all-news/press-releases/details/new-method-significantly-reduces-ai-energy-consumption
#kunstlicheintelligenz #KI , #forschung #LargeLanguageModels
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We cordially invite all interested parties at the Universität Stuttgart to our IRIS Colloquium on March 26, at 2 p.m., in Room 101 at Universitätsstr. 32.
Mara Seyfert will give her lecture, „Uncertainty and robustness against persuasion in large language models.“
Today's large language models (LLMs) excel at providing convincing answers across a broad spectrum of inquiries, with their conversational capabilities enabling them to closely align with users' needs. However, this adaptability is beneficial only to the extent as models remain robust to adopting wrong statements from user inputs.
Recent research demonstrates that even advanced models like GPT-4 can shift from initially correct answers to incorrect ones during multi-turn conversations solely due to user input. In my talk, I will present my research exploring how uncertainty in LLMs can provide insights into their robustness against persuasion while highlighting the specific challenges of quantifying uncertainty in these models.
The lecture is held in English. Registration is not necessary.
#LargeLanguageModels #AI #GPT #GPT4 #robustnessagainstpersuasion #AIResearch #MachineLearning #LLMs #ArtificialIntelligence #TechTalk #RobustAI #DataScience #AIethics #Innovation
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Had a very insightful conversation about the limitations on AI with a marketing copywriter.
Her comment was that actually writing marketing materials is a small part of her job.
If it was just about writing something that persuades a customer to buy a product, it would be a cakewalk.
What takes time is the stakeholder management.
It's navigating conflicting and contradictory demands of different departments.
Legal wants to say one thing. Sales something different. Legal something else entirely.
There's higher-up managers who need their egos soothed.
There's different managers with different views about what the customers want and what their needs are.
And there's a big difference in big bureaucratic organisations between writing marketing collateral, and writing something that gets signed off by everyone who needs to.
She's tried using AI for some tasks, and what that typically involves is getting multiple AI responses, and splicing them together into a cohesive whole.
Because it turns out there's a big difference in the real world between generating a statistically probable output, and having the emotional intelligence to navigate humans.
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Gleich reinschnuppern & schlauer werden! 
Im #DFNInfobriefRecht März geht es u. a. um:
zwei neue Datenzugangsrechte im #DigitalServicesAct die Diskussion zu Personenbezug in #LargeLanguageModels die Leitentscheidung des #BGH zu den #FacebookScraping Verfahren
Hier geht es zum Infobrief Recht: https://www.dfn.de/dfn-infobrief-recht-ist-erschienen/
@freieuniversitaet #unimuenster
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