Join Drs. Jessica Parker and Kimberly Becker, co-founders of Moxie for part 1 of a 3-part webinar series, Understanding AI Detection: From LLM Basics to Advanced Techniques, to demystify the mechanisms of large language models (LLMs), explore the ethical and transparency issues surrounding AI detection in academic settings, and critically analyze the effectiveness of AI detection tools.
(1) Introduction to LLMs: What are they, and how are they built?
(2) Core Mechanics: Discuss text prediction, vector representations, and training processes.
(3) Real-world Applications: Showcase examples of LLM usage in academic settings.
(4) Interactive Q&A: Address common misconceptions and queries about LLMs.
This mini-webinar is designed for graduate students, postdocs, faculty, and researchers who want to gain a solid understanding of how LLMs operate, preparing them for a deeper exploration of AI detection.
Here's the PDF file of what we cover:
https://drive.google.com/file/d/1ddS1...
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