iiinova — where your digital self keeps evolving

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Epiverse TRACE @epiverse-trace.bsky.social · 04/08/2025

🚨 New FREE self-paced course! We are excited to launch the #EpiTrainingKit #Africa: Introduction to Infectious Disease Modelling for Public Health. 🎯 Tailored for the African context 🌍 With a gender perspective 🆓 Open-access and online #EpiTKit #Epiverse #PublicHealth

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Epiverse TRACE @epiverse-trace.bsky.social · 11/03/2025

#EpiverseTRACE is now on Bluesky & LinkedIn! 🎉 We’re expanding to be more inclusive & diverse, reaching a wider audience in public health & data science. Want to know more about what we do?⁉️🤔 🧵a thread!

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Mark Riedl @markriedl.bsky.social · 30/12/2024

These thoughts after working on suspenseful story generation (pre o1) arxiv.org/abs/2402.17119. GPT can be beat at suspense generation. Interestingly GPT can be improved by guiding it with the theory of-mind part of story b planning. ~3 pages is the longest form we’ve tried.

arxiv.org

Creating Suspenseful Stories: Iterative Planning with Large Language Models

Automated story generation has been one of the long-standing challenges in NLP. Among all dimensions of stories, suspense is very common in human-written stories but relatively under-explored in AI-ge...

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Ted Underwood @tedunderwood.com · 30/12/2024

Something I don't understand is: why can't LLMs write novel-length fiction yet? They've got the context length for it. And new models seem capable of the multi-hop reasoning required for plot. So why hasn't anyone demoed a model that can write long interesting stories? I do have a theory ... +

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Mark J. Nelson @mm-jj-nn.bsky.social · 19/12/2024

Great blog post (by a 15-author team!) on their release of ModernBERT, the continuing relevance of encoder-only models, and how they relate to, say, GPT-4/llama. Accessible enough that I might use this as an undergrad reading.

huggingface.co

Finally, a Replacement for BERT: Introducing ModernBERT

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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Taylor Smith @taylorjsmith.bsky.social · 16/12/2024

With students writing my theory exam today, I figured it's a good time to share a link to my open textbook with all you current (and future!) theoreticians. This term was the first time I used it in class, and students loved it. Big plans for future editions, so stay tuned! taylorjsmith.xyz/tocopen/

A photo of my open textbook, "Theory of Computing: An Open Introduction", on my bookshelf leaning up against some other classic theory texts.

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Andrés Moreno @andresmorenob.bsky.social · 11/12/2024

Great tutorial on language models!

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Kosta Derpanis @csprofkgd.bsky.social · 27/11/2024

Check out this BEAUTIFUL interactive blog about cameras and lenses ciechanow.ski/cameras-and-...

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Ted Underwood @tedunderwood.com · 23/11/2024

A timely paper exploring ways academics can pretrain larger models than they think, e.g. by trading time against GPU count. Since the title is misleading, let me also say: US academics do not need $100k for this. They used 2,000 GPU hours in this paper; NSF will give you that. #MLSky

arxiv.org

$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources

Pre-training is notoriously compute-intensive and academic researchers are notoriously under-resourced. It is, therefore, commonly assumed that academics can't pre-train models. In this paper, we seek...

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Melissa Florer-Bixler @melissaf-b.bsky.social · 23/11/2024

A poem for my last day working at the writing center for the semester (by Joseph Fasano)

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