#ff2024 — Public Fediverse posts

Am 06.12. 🗓️findet unser 3. #OpenData 📂Fachforum #FF2024 statt! ‼️
Dieses Mal mit drei Vorträgen zum Thema
#Datenqualität & #Standardisierung !
Wir freuen uns auf spannende Vorträge und einen regen Austausch!🙌
Eine Nachlese findet Ihr im Anschluss auf:👇
https://www.opendata.bund.de

@hugh
That was a fantastic write-up! Thank you!

#AI #Ethics #SlowAI #FF2024

Great #FF2024 reflection post by @hugh. "Helping users take a 'sense-making' journey."

https://ausglam.space/@hugh/113501858032432797

This and #FF2024 in general make me think we need updated studies on information seeking in different types of GLAM collections. And that all modern searches need a 'semantic search off' toggle to enable exact matches again

https://ausglam.space/@hugh/113501858032432797

What a delight it was to present at the #ff2024 #ff24 Fantastic Futures #conference last week, held at the #NFSA, celebrating all things #AI and #ML in the #GLAM sector.

See what the #ANU School of #Cybernetics got up to at the conference:

https://cybernetics.anu.edu.au/news/2024/10/18/fantastic-futures?utm_source=mastodon&utm_medium=social

A great example of learning on the job from Asa - 'Making cursive comfortable: Transcribing 19th Century archives using AI models' https://prov.vic.gov.au/about-us/our-blog/making-cursive-comfortable as presented at #FF2024 #AI4LAM

As if prompted by #FF2024, RNZ ran this article featuring Peter Lucas-Jones and the great 92% accuracy Te Reo Māori text-to-speech work at Te Hiku Media.

"It is important to recognise that big tech is not going to save te reo Māori."

https://www.rnz.co.nz/news/alert-nat/531303/why-google-maps-can-t-pronounce-maori-place-names

#AI4LAM

#FF2024 ended with a literal bang in the form of Triptych, EDM+AV Mechanical Synaesthesia, by Robin Fox. It was loud, intense, immersive, and what could only be described as an unforgettable "trip" 🔥🔥🤩💫💥. Nothing I've ever experienced before. A reimagining. In many ways, that was one of the main threads at #FF2024 - deliberate and cautious approach, ask questions, be more conscientious, do #SlowAI if possible. Certainly a reimagining of how AI projects have been done post-Kraken 🐙 👹🧌.

#AI4LAM

Homeward bound from a great #FF2024 #AI4LAM on the smallest plane I have been on for a while!

Just like @mia, this talk by Barbara Shubinski, Rockerfeller Archive Center, drew me in, and I couldn't summarise. It would be great as a full talk. Maybe at #FF2025
https://hcommons.social/@mia/113326897490041469

#FF2024 #AI4LAM

#AI4ALAM folk, you outdid yourselves at #FF2024! Your optimism, your cynicism, your questions about how we get the AI / ML we deserve - and most importantly your support for each other. Please keep sharing and learning together! https://ai4lam.org

@nfitzger announces that #ff2025 will be in London 3-5th December 2025 at the #BritishLibrary
#AI4LAM #ff2024

#SaveTheDate 💾 #FF2025 at the British Library! 3-5 December 2025.🔥🤩🤩🔥

#FF2024 #AI4LAM

Karen Thompson – Applying AI to accelerate data transcription from digital objects
University of Melbourne

Hespi. Sheet component model Built using Object Detection Model YOLOv8 (built in-house). Model freely available. Labels freely available.

✉️ Contact Karen, use the model, train the model, use it in your institution. Details in 2nd image.

#FF2024 #AI4LAM

Liked #FF2024? Come to London for #FF2025!

3 - 5 December 2025

https://ai4lam.org/ #AI4LAM

We hope you enjoyed #FF2024! Save the date for #FF2025 Fantastic Futures 2025 AI4LAM at the British Library, London 3-5 December 2025 https://ai4lam.org

Kara Kennedy, AI Literacy Institute – AI Literacy for Librarians in Low-Resource, Multicultural Communities

https://ailiteracy.institute/

Two choices, don't use AI (like early days of Wikipedia) or learn how to use AI wisely
1. Engage AI champion
2. Leverage existing content - LinkedIn learning. Lots of free resources.
3. Create accessible resources

Librarians, GLAM, we can lead AI literacy, help prepare community for AI

#LeaveNoOneBehind

#FF2024 #AI4LAM

Barbara Shubinski, Rockefeller Archive Center – Gender in a (Supposedly) Non-Gendered Historical Space: Generative AI, Sentiment Analysis, and Graph Databases in the Rockefeller Foundation Collections of the 1930s - impossible to summarise but compelling talk! #FF2024 #AI4LAM

End up, created our own - Whisper Scribe. https://www.github.com/gsu-library/whisper-scribe (Rachel invited us to check it out)

Future development: partitions, dynamic user permissions, locking records when editing, investigate syncing existing transcript, project profiles.

#FF2024 #AI4LAM

Rachel Senese Myers – Adopting Whisper: Creating a front end optimized for processing needs
Georgia State University

Oral history. Ohms. Not searchable.

Experiment: faster Whisper. Took learnings from #FF2023. Blew Adobe Premiere Pro out of the water. IT said, you can't do this - command line. Need UI.

Whisper Web UI.
No database. Browser crash, data gone.

Whishper. Love database. No batch upload. No diarization. No batch edits.

#FF2024 #AI4LAM

#FF2024 Rachel Senese Myers - Georgia State web ui for Whisper - go check their github! #AI4LAM

Lightning talks (5 mins each).

Asa Letourneau – C19th Handwriting and Model Making with Transkribus
Public Record Office Victoria, State Archives Victoria

Rapid learning and experimenting. Started July 2023. Tried Trankribus. Not successful. Created 3 private model, CER 5%. Tested public model Text Titan, 2.75% CER.

Now Trankribus beta site. Recognise tabular record. Hoping to deploy IIIF Glycerine for crowdsourcing editing of transcription.

#FF2024 #AI4LAM

Asa Letourneau talking #OCR and handwriting recognition with #Transkribus at Public Records Victoria. From no knowledge of #AI to a working service in 12 months. Reflecting on learnings about #DataSovereignty.

#ff2024 #AI4LAM

Asa Letourneau on Transkribus at Public Record Office Victoria - will start crowdsourcing corrections. From newbie in July 2023 to this... #FF2024 #AI4LAM

Session 6 Institutional Adoption, talks by Lizabeth Johnson (LANL), Barbara Shubinski (RC), Kara Kennedy, Karen Thompson (UMELB), and Neil Fitzgerald (BL), hosted by Jess Herrington (ANU) #ff2024 #ai4lam

https://sites.google.com/view/ai4lam/news/fantastic-futures-2024-papers#h.ebrmxvadj9i8
https://sites.google.com/view/ai4lam/news/fantastic-futures-2024-papers#h.pbldge26q2x3
https://sites.google.com/view/ai4lam/news/fantastic-futures-2024-papers#h.2mz94hhg68w5
https://sites.google.com/view/ai4lam/news/fantastic-futures-2024-papers#h.9fekuu25s6pz

Human to judge generated similarity. 900 judgements by 15 NLA staff. Head to head comparison. Individually, CLIP highest score. Combination of model considered best 66% of the time against other variants. Open source models getting better.

#FF2024 #AI4LAM

Nice comparison tool from NLA to see which models did better at text search results and image similarity searches #FF2024

🗣️ Session 6 AI and Institutional Adoption, talks by Laura McGuinness (LANL), Kate Follington & Asa Letourneau (PROV), Rachel Senese Myers (GSU), hosted by Jess Herrington (ANU) #ff2024 #ai4lam

https://sites.google.com/view/ai4lam/news/fantastic-futures-2024-papers#h.9h1gqz6m5cz6
https://sites.google.com/view/ai4lam/news/fantastic-futures-2024-papers#h.hsn26u9bzgd9
https://sites.google.com/view/ai4lam/news/fantastic-futures-2024-papers#h.r2llfyk7dhx2

Evaluated OpenAI CLIP (Jan 2021), OpenAI gpt-4-vision-preview (proprietary, Jan 2024) and Microsoft Phi-3.5 Vision (open source, Aug 2024). No data retention models.

Nomic, open source system, generate embeddings. Store in Solr. Incoming text query to embeddings using Nomic. Then KNN query to Solr.

CLIP uses its own embeddings.

Image: Fixed query set. Fixed query types.

#FF2024 #AI4LAM