Tag: GPT
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Ethan Mollick’s Complexifier GPT
in AIEthan Mollick’s Complexifier GPT that creates a flowchart for taking something simple and making it complicated.
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OpenAI makes GPT-4 available to everyone for free
https://openai.com/index/spring-update This is a big update that (probably) pushes ChatGPT back into the clear leader spot. Omni’s voice, audio and video capabilities are interesting, but I think the bigger news is that OpenAI is now making GPT-4 level generative AI available to everyone for free. Considering that the free version of ChatGPT was using GPT-3.5,…
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BIP AI – AI fundamentals and prompting
In this workshop for the Blended Intensive Programme on AI in education and research, Antonio Lopes, Hugo Santos and I introduce generative AI models and techniques for effective prompting. Participants explored responses across chatbot platforms to compare nuances in AI outputs. The workshop provided a practical foundation for understanding and harnessing generative AI capabilities.
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Building custom GPTs to provide feedback on samples of writing
Introduction “Our results show that i) ChatGPT is capable of generating more detailed feedback that fluently and coherently summarizes students’ performance than human instructors; ii) ChatGPT achieved high agreement with the instructor when assessing the topic of students’ assignments; and iii) ChatGPT could provide feedback on the process of students completing the task, which benefits…
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OpenChat is an open-source language model
in AIOpenChat is an open-source large language model being developed by a student team at Tsinghua University in China. In Dec 2023, OpenChat was GPT-3.5 equivalent, outperforming ChatGPT (Mar 2023) in some benchmarks i.e. the free version of ChatGPT, not ChatGPT Plus which is running GPT-4. Despite our simple approach, we are committed to developing a…
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Chatbot Responses to Patient Questions
Ayers, J. W., et al. (2023). Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum. JAMA Internal Medicine. In this cross-sectional study within the context of patient questions in a public online forum, chatbot responses were longer than physician responses, and the study’s health care professional evaluators…
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Article: CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering
Pride, D., Cancellieri, M., & Knoth, P. (2023). CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering (arXiv:2307.04683). arXiv. http://arxiv.org/abs/2307.04683 In this paper, we present CORE-GPT, a novel question answering platform that combines GPT-based language models and more than 32 million full-text open access scientific articles from CORE. We first…
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Language models don’t sometimes hallucinate. They always hallucinate.
By now, most people have come across the issue of language models like GPT hallucinating, where the model generates an output that’s unrelated to the prompt. Or, you may find that the generated responses increasingly diverge from the topic (as the error rate in the model accumulates over increasingly long sessions). When the response generated…
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Universal ‘anything’ machines – North-West University symposium
In this presentation I describe the concept of “universal ‘anything’ machines,” which leverage large language models (LLMs) capable of producing human-like text across various domains. These LLMs enable the creation of customisable, context-aware characters with expertise in multiple disciplines, accessible via natural language. The talk also addresses the implications for higher education, discussing the potential…
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Rejected AMEE abstract (workshop) | ChatGPT and its implications for health professions education
See this brief post on my reasons for sharing rejections. Background The release of ChatGPT in November 2022 was accompanied by an explosion of interest in both mainstream and academic media. It has simultaneously been described as the saviour of higher education, and the beginning of the end. The fact is, it could be both.…
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Podcast | Lex Fridman interviews Sam Altman (OpenAI)
I really enjoyed this conversation between Lex Fridman and Sam Altman. Sam is the CEO of OpenAI, who developed the GPT large language model, and the ChatGPT interface. I thought that his responses were thoughtful and considered. The conversation veers toward the technical, but there’s enough at a high level for this to be useful…
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Conversation with Dave Nicholls on generative AI
A few weeks ago I had a conversation with Dave Nicholls for his Paradoxa substack, on the topic of large language models and other forms of generative AI. Dave and I wanted to talk about the implications of generative AI, and of ChatGPT in particular, on higher education and professional practice. In addition to our…