![]() ![]() Presentations might have dozens of slides in-just assembling the image tags in the correct order can be a frustrating task.The images really need good alt= text-a big part of the information in the presentation is conveyed by those images, so they need to have good descriptions both for screen reader users and to index in search engines / for retrieval augmented generation.A custom tool for building annotated presentationsįor this most recent talk I finally built something I’ve been wanting for years: a custom tool to help me construct the annotated presentation as quickly as possible.Īnnotated presentations look deceptively simple: each slide is an image and one or two paragraphs of text. The annotated presentation isn’t just for people who didn’t watch the talk, it’s aimed at providing extra context for people who did watch it as well. I don’t just cover the things I said in the the talk-I’ll also add additional context, and links to related resources. Instead, I’ll assemble notes for each slide from re-watching the video after it has been released. I find this fits my style (best described as “enthusiastic rambling”) better. If I did, I might use that as a starting point, but I usually prepare the outline of the talk and then give it off-the-cuff on the day. I don’t tend to write a detailed script for my talks in advance. Redis tutorial for NoSQL Europe 2010 (my first attempt at this format). ![]() ![]() ![]() Personal Data Warehouses: Reclaiming Your Data for the GitHub OCTO speaker series in November 2020.Datasette-an ecosystem of tools for working with small data for PyGotham 2020.How to build, test and publish an open source Python library for PyGotham 2021.Coping strategies for the serial project hoarder for DjangoCon US 2022.Prompt injection explained, with video, slides, and a transcript for a LangChain webinar in May 2023.Here’s my most recent example: Catching up on the weird world of LLMs, from North Bay Python last week. My preferred format for publishing these documents is as an annotated presentation-a single document (no clicking “next” dozens of times) combining key slides from the talk with custom written text to accompany each one, plus additional links and resources. So I like to publish my talks with a text and image version of the talk that can provide as much of the value as possible to people who don’t have the time or inclination to sit through a 40m talk (or 20m if you run it at 2x speed, which I do for many of the talks I watch myself). My most recent talk was 40 minutes long-I’d love people to watch it, but I myself watch very few 40m long YouTube videos each year. North Bay Python is a fantastic example of an event that does this well: they team up with Next Day Video and White Coat Captioning and have talks professionally recorded, captioned and uploaded to YouTube within 24 hours of the talk being given.Įven with that quality of presentation, I don’t think a video on its own is enough. One of my favourite ways of getting “paid” for a talk is when the event puts in the work to produce a really good video of that talk, and then shares that video online. If you’re going to put that much work into something, I think it’s worth taking steps to maximize the value that work produces-both for you and for your audience. I go by a rule of thumb I learned from Damian Conway: a minimum of ten hours of preparation for every one hour spent on stage. How I make annotated presentations eight days ago ![]()
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