Generative AI Weekly Research Highlights | Oct'23 Part 1

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The Troubling Emergence of Hallucination in Large Language Models – An Extensive Definition, Quantification, and Prescriptive Remediations [https://arxiv.org/pdf/2310.04988.pdf]

RA-DIT: RETRIEVAL-AUGMENTED DUAL INSTRUCTION TUNING [https://arxiv.org/pdf/2310.01352.pdf]

A Comprehensive Review of Generative AI in Healthcare [https://arxiv.org/ftp/arxiv/papers/23...]

GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models [https://arxiv.org/pdf/2310.00737.pdf]

A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks [https://arxiv.org/pdf/2310.00633.pdf]

Security Weaknesses of Copilot Generated Code in GitHub [https://arxiv.org/pdf/2310.02059.pdf]

FRESHLLMS: REFRESHING LARGE LANGUAGE MODELS WITH SEARCH ENGINE AUGMENTATION [https://arxiv.org/pdf/2310.03214v1.pdf]

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) [https://arxiv.org/pdf/2309.17421.pdf]

00:00 Intro

00:21 Hallucination Vulnerability in AI Models

00:45 Retrofitting LLMs with Retrieval Capabilities

00:59 Generative AI in Healthcare

01:16 The Dark Side of Generative AI

01:33 Adversarial Attacks on 2D and 3D Models

01:48 Security Weaknesses in AI-Generated Code

02:05 Enhancing Factuality with World Knowledge

02:22 GPT-4V(ision) : Merging Visual and Language Skills

02:46 End

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