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Download presentations/README.md from HuggingFaceFW/finephrase: direct link, hf CLI and curl.
- Browser
- Download file 2.49 kB
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https://huggingface.co/spaces/HuggingFaceFW/finephrase/resolve/main/presentations/README.md
- Command line
-
hf download hf://spaces/HuggingFaceFW/finephrase/presentations/README.md
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curl -L -o README.md https://huggingface.co/spaces/HuggingFaceFW/finephrase/resolve/main/presentations/README.md
Presentations
Talks about FinePhrase, one folder per talk (YYYY-MM[-DD]-<venue>). The COLM 2026 poster lives in ../poster/.
| Folder | Talk | Length | Slides |
|---|---|---|---|
2026-02-26-se2026-industry-day |
SE 2026 Industry Day, Bern (reveal.js) | 30 min | 21 |
2026-06-18-deep-learning-with-yacine |
Deep Learning with Yacine (full deep dive) | ~50 min | 80 |
2026-10-colm-spotlight |
COLM 2026 spotlight oral, San Francisco | 12 min | 19 |
SE 2026 Industry Day
index.html is a reveal.js deck whose D3 charts (charts/) load data/ at runtime, so serve the folder over HTTP to present it (python3 -m http.server). build-standalone.mjs inlines the CSS, images, charts and data into standalone.html, a single file you can open straight from disk (reveal.js and D3 still come from a CDN):
cd presentations/2026-02-26-se2026-industry-day
node build-standalone.mjs
COLM 2026 spotlight
build.mjs generates finephrase-colm-2026-spotlight.pptx with pptxgenjs. All charts are native PowerPoint charts with scores from the paper (paper/colm2026_conference.tex, paper/data/*.dat), except the trained-model-size slide, which uses the blog's student sweep (app/src/content/assets/data/student-scaling-summary.csv), and the headline-result slide, which shows the training curves of the blog's opening figure (app/src/content/assets/data/benchmark-results.csv). Every slide has speaker notes written to be read aloud, each starting with a target duration like [45s] (about 8.5 minutes in total). The last slide's notes collect material for questions that is not meant to be read aloud: seed variance (from the blog's 72-run seed grid), the baseline scores when mixed 50/50 with web data, cost comparisons, a training-compute estimate per model size, and a one-line description of each benchmark. assets/ holds the paper overview figure, the bookshelf and dataset-viewer images from the Yacine deck, and the QR codes from the poster. The closing slide invites people to the poster session and shows ../poster/finephrase-poster.png, so rebuild the deck after changing the poster.
cd presentations/2026-10-colm-spotlight
npm install
node build.mjs