Generative AI Weekly Research Highlights | Oct'23 Part 2

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[1] A Survey of Large Language Models for Healthcare: [https://arxiv.org/pdf/2310.05694.pdf]

[2] META-COT: GENERALIZABLE CHAIN-OF-THOUGHT PROMPTING IN MIXED-TASK SCENARIOS WITH LARGE LANGUAGE MODELS: [https://arxiv.org/pdf/2310.06692.pdf]

[3] INSTRUCTRETRO: INSTRUCTION TUNING POST RETRIEVAL-AUGMENTED PRETRAINING: [https://arxiv.org/pdf/2310.07713.pdf]

[4] Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright: [https://arxiv.org/pdf/2310.07915.pdf]

[5] Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks: [https://arxiv.org/pdf/2310.07879.pdf]

[6] GOODTRIEVER: Adaptive Toxicity Mitigation with Retrieval-augmented Models: [https://arxiv.org/pdf/2310.07589.pdf]

[7] LLARK: A MULTIMODAL FOUNDATION MODEL FOR MUSIC: [https://arxiv.org/pdf/2310.07160.pdf]

[8] An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions: [https://arxiv.org/pdf/2310.07127.pdf]

00:00 Intro

00:17 LLMs in Healthcare

00:31 MetaCoT: Generalizable Prompting

00:43 Retro 48 Billion: Enhanced QA

00:55 Data Privacy and AI

01:18 GOODTRIEVER: Toxicity Mitigation

01:28 LLARK: Multi-modal Music Model

01:40 Human-AI Interaction Survey

01:59 End

#generativeai,#promptengineering,#largelanguagemodels,#openai,#chatgpt,#gpt4,#ai,#abcp,#prompt,