Ian Kellar

@driankellar.bsky.social

1581 Followers 310 Following

Professor of Health Psychology @sheffielduni | intervention development | #behaviourchange | #systematicreview | #coproduction | #processevaluation | #systemsthinking | #participatorymethods | #AI | UK Society for Behavioural Medicine President 2025-2027

The author misunderstands how LLMs can be useful in writing articles. Using LLMs without using RAG is just relying on the patterns learned in the training of the model. If you know the relevant literature, using RAG, it fetches the relevant info from the papers you give it, adds it to the prompt and generates a response based on the relevant retrieved information. This addresses issues with hallucinations, cut off dates and citations. Tools like ChatGPTs Deep Research, and The-Literature add search to the beginning of this process. My students know that if want an essay out of an LLM, upload the PDFs of the papers in the reading list, the assessment guidance and the marking criteria. If they are using notebookLM, they could listen to a chatty podcast, or chat to the podcast in interactive mode to give them ideas for prompts.
Create an Asteroids-style game where I control a spaceship that moves with the arrow keys and fires lasers with the space bar. The game should start with multiple asteroids that move randomly across the screen. When a laser hits an asteroid, the asteroid should explode into two smaller asteroids if it's large enough, or disappear if it's small. If asteroids collide with each other, they should also shatter into smaller pieces. Additionally, if an asteroid collides with the spaceship, the game should end. When all asteroids are cleared, a new wave should appear, increasing the number of asteroids by one in each new wave. Also, add a score counter that increases when I destroy asteroids. Provide the full game as an HTML file with a link so that I can download and run in my browser, with all JavaScript included in the HTML file itself.
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The weaknesses in this passage about Generative AI (GenAI) include: Lack of discussion on the limitations of GenAI: While the passage mentions that GenAl is fallible, it does not provide a comprehensive exploration of its limitations. It is important for users to understand that GenAl does not possess true understanding or critical thinking abilities like humans do. It relies on the data it is trained on and may produce inaccurate or misleading information. Insufficient guidance on responsible use: While the passage briefly mentions the Importance of responsible and ethical use of GenAl, it does not provide detailed guidelines on how to ensure such use. It would be beneficial to include specific recommendations on verifying and fact-checking the information generated by GenAl, as well as the importance of critically evaluating its outputs. Lack of emphasis on the need for human creativity and originality: The passage mentions that using GenAl can enrich one's creativity, but it
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