Tag: language model
-
Claude, help me choose a career
Most people on the planet will need to make a series of decisions about how they are going to earn a living. And most people lack the networks and access to expertise to help inform those decisions in the best way. You might end up in a career because of social pressure, lack of opportunity,…
-
Claude, help me draft the outline of my academic paper
My last 2 posts have dealt with 1) the use of Claude to complete a peer review, and 2) how journals could include this process in their workflow. It follows that authors should be using LLMs as well. There are the obvious use cases; rephrasing passages, summarising, expanding, correcting, and so on. However, I think…
-
Journals should be experimenting with LLMs in their editorial workflow
I recently wrote a post about using Claude to peer review an academic paper, and the decent job it did. Based on that experience, I started thinking about the probable impact on journal editorial workflows, a significant part of which is the peer review process. If I was still on an editorial board of a…
-
Claude, you are an expert peer-reviewer…
I recently completed a peer review for an academic journal, and as I was submitting it I wondered how Claude would perform if given the task. Since the article was anonymised, I didn’t think there’d be any problems uploading the PDF and asking Claude to review it. And, I had already submitted my review so…
-
User guide for Claude AI
This user guide for Claude is an excellent resource, not only for understanding how you can use Claude more effectively, but for understanding language models in general. There’s an introduction, sections on prompt design and useful hacks to improve Claude’s responses, and an overview of the use cases you might consider for Claude. It also…
-
In Beta podcast on generative AI and assessment
It’s been a long time since Ben and I sat down to record something for the In Beta podcast, but I think this episode on Generative AI is a good one. As usual, Ben asks some great questions that really push me to think about what I’m thinking. This was a wide-ranging conversation that explored…
-
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…
-
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…
-
How I used to get an overview of a new topic, compared to using ChatGPT
The other day I was in a meeting where participants were talking about different routes our institution offers towards a PhD, and I realised that I didn’t have a strong sense of the differences, and relative merits of each route. What I would usually do in a situation like this is something like the following:…
-
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.…