Rogue Scholar Posts

language
Published in Aaron Tay's Musings about librarianship
Author Aaron Tay

Earlier related pieces - How Q&A systems based on large language models (eg GPT4) will change things if they become the dominant search paradigm - 9 implications for libraries In the ever-evolving landscape of information retrieval and library science, the emergence of large language models, particularly those based on the transformer architecture like GPT-4, has opened up a Pandora's box of possibilities and challenges.

Published in Aaron Tay's Musings about librarianship
Author Aaron Tay

Note: This is a lightly edited piece of something I wrote for my institution What is Google’s Search Generative Experience (SGE)? In past ResearchRadar pieces, we have discussed about how search engines both general (e.g. Bing Chat, Perplexity) and academic (e.g Elicit, Scite Assistant, Scopus (upcoming)) are integrating search with generative AI (via Large Language Models) using techniques like RAG (Retrieval Augmented

Published in Aaron Tay's Musings about librarianship
Author Aaron Tay

On September 2023, OpenAI announced that ChatGPT Plus would be enhanced in three ways 1. It would allow you to speak directly with GPT and it would also be able to reply in voice 2. It would be able to create images using DALL-E 3, OpenAI's image generation model 3. It would be able to accept image inputs Since I finally gained access to these features, I will briefly review them with my thoughts on how impactful they might be for

Published in Aaron Tay's Musings about librarianship
Author Aaron Tay

List of academic search engines that use Large Language models for generative answers (for the latest version - see this page) This is a non-comprehensive list of academic search engines that use generative AI (almost always Large language models) to generate direct answers on top of list of relevant results, typically using Retrieval Augmented Generation (RAG) Techniques.

Published in Aaron Tay's Musings about librarianship
Author Aaron Tay

I was asked to give a talk at CILIP Conference 2023 for the Data & AI panel. I was given 10 minutes to send a recording which I eventually delivered. But here's an extended 40-minute recording before I cut it down.