Generative AI Weekly Research Highlights | Dec'23 Part 3

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Here are the research paper names and their corresponding links:

1. A Survey of Large Language Models in Medicine: Principles, Applications, and Challenges - https://arxiv.org/pdf/2311.05112.pdf

2. A Survey of Text Watermarking in the Era of Large Language Models - https://arxiv.org/pdf/2312.07913.pdf

3. GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models - https://arxiv.org/pdf/2312.06315.pdf

4. LLMEval: A Preliminary Study on How to Evaluate Large Language Models - https://arxiv.org/pdf/2312.07398.pdf

5. Recovering from Privacy-Preserving Masking with Large Language Models - https://arxiv.org/pdf/2309.08628.pdf

6. Navigating the Generative AI Era: Introducing the AI Assessment Scale for Ethical GenAI Assessment - https://arxiv.org/ftp/arxiv/papers/23...

7. Designing with Language: Wireframing UI Design Intent with Generative Large Language Models - https://arxiv.org/pdf/2312.07755.pdf

8. Efficiently Programming Large Language Models using SGLang - https://arxiv.org/pdf/2312.07104.pdf

00:00 Intro

00:20 LLMs Transforming Medicine

00:49 Text Watermarking and AI Ethics

01:19 Tackling Bias with GPT Bias Framework

01:47 Evaluating LLMs with LLM Eval Dataset

02:14 Privacy Protection with LLMs

02:39 Ethical AI in Education

03:05 AI-Driven UI Design with WireGen

03:26 Programming LLMs with SGLang

03:55 End

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