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X-WR-CALDESC:Veranstaltungen für CAIS
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DTSTART;TZID=Europe/Berlin:20240911T160000
DTEND;TZID=Europe/Berlin:20240911T180000
DTSTAMP:20240621T180053Z
CREATED:20240621T180053Z
LAST-MODIFIED:20240621T180053Z
UID:52195-1726070400-1726077600@cais-research.de
SUMMARY:On Trustworthiness of Large Language Models
DESCRIPTION:The past few years have witnessed significant leaps in capabilities of Large Language Models (LLMs). LLMs of today can perform a variety of tasks such as summarization\, information retrieval and even mathematical reasoning with impressive accuracy. What is even more impressive is LLMs’ ability to follow natural language instructions without needing dedicated training datasets. However\, issues like bias\, hallucinations and lack of transparency pose a major impediment to wide adoption of these models. In this talk\, I will review how we got from “traditional NLP” to today’s LLMs\, and some of the reasons behind trustworthiness issues surrounding LLMs. I will then focus on a single issue — hallucinations in factual question answering — and show how artifacts associated with model generations can provide hints that the generation contains a hallucination.
URL:https://cais-research.de/event/on-trustworthiness-of-large-language-models/
LOCATION:CAIS + virtuell\, Konrad-Zuse-Straße 2a\, Bochum\, 44801
CATEGORIES:Kolloquium,Öffentliche Veranstaltungen
ATTACH;FMTTYPE=image/jpeg:https://cais-research.de/wp-content/uploads/platzhalter-kolloquium-blau-16-9.jpg
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