federico nanni (@f_nanni) 's Twitter Profile
federico nanni

@f_nanni

Historian, data scientist, but most of the time someone in between, @turinginst. Member of @turinghut23.

ID: 145310513

linkhttps://github.com/fedenanni calendar_today18-05-2010 17:05:24

6,6K Tweet

835 Followers

588 Following

REG @ Turing (active on BlueSky and Mastodon) (@turinghut23) 's Twitter Profile Photo

Our team were excited to join this year's #Hacktoberfest with diverse #OpenSource contributions 🚀👏 From community project PRs and tackling data vis tool issues to making repos Hacktoberfest-eligible, the team even managed to plant multiple trees!💻🌲 hacktoberfest.com

King's Digital Lab (@kingsdigitallab.bsky.social) (@kingsdigitallab) 's Twitter Profile Photo

Time to get your applications in for the 3rd #DH #RSE Summer School, this year in 😍Edinburgh. We'll be there with a digital creativity themed day! Learn about software development for humanties research 1. Read the thingie (below) 2. Fill in the form 3. Press submit! It's easy!

REG @ Turing (active on BlueSky and Mastodon) (@turinghut23) 's Twitter Profile Photo

Applications are now open for the #DigitalHumanities & #RSE Summer School 2024! 🌟 If you’re interested in becoming a Research Software Engineer in the humanities or integrating RSE practices into your research, apply now: cdcs.ed.ac.uk/DHRSE-Summer-S…

Applications are now open for the #DigitalHumanities & #RSE Summer School 2024! 🌟

If you’re interested in becoming a Research Software Engineer in the humanities or integrating RSE practices into your research, apply now: cdcs.ed.ac.uk/DHRSE-Summer-S…
REG @ Turing (active on BlueSky and Mastodon) (@turinghut23) 's Twitter Profile Photo

Big thanks to our team members federico nanni, Levan Bokeria, Dr Lydia France & @kasra_hosseini for helping to craft the course material for the Summer School in previous years! 🙌 You can check out the course details from last year here: github.com/CambridgeDH/DH…

Cambridge Digital Humanities (@camdighum) 's Twitter Profile Photo

Applications close on Friday! Early career digital humanists and adjacent colleagues - don't miss out on this brilliant opportunity. Learn more: cdcs.ed.ac.uk/DHRSE-Summer-S…

Giulia Paci (@giulia_paci) 's Twitter Profile Photo

Can Vision Language Models aid in the detection and description of phenotypes? With federico nanni, we sought to test this for Drosophila wing images. Preprint here: biorxiv.org/content/10.110…

Can Vision Language Models aid in the detection and description of phenotypes? With <a href="/f_nanni/">federico nanni</a>, we sought to test this for Drosophila wing images. Preprint here: biorxiv.org/content/10.110…
Giovanni Colavizza (@giovanni1085) 's Twitter Profile Photo

We have an opening for a PhD on "Large Language Models for a personalised access to large cultural data" See MSCA COFUND - Futuredata4EU Call, page 69: site.unibo.it/futuredata4eu/… Competitive EU salary for 3y. Deadline June 28th. Francesca Tomasi Silvio Peroni /DH.arc #GLAM #LLMs #DH

REG @ Turing (active on BlueSky and Mastodon) (@turinghut23) 's Twitter Profile Photo

⚽️ We're excited to share the AIrsenal predictions for the #Euros2024! This side project by our team uses #MachineLearning and #AI to predict #football outcomes Currently, France 🇫🇷 are favorites, with England 🏴󠁧󠁢󠁥󠁮󠁧󠁿 in 2nd spot and Scotland 🏴󠁧󠁢󠁳󠁣󠁴󠁿 with a slim chance down in 20th.

⚽️ We're excited to share the AIrsenal predictions for the #Euros2024!

This side project by our team uses #MachineLearning and #AI to predict #football outcomes

Currently, France 🇫🇷 are favorites, with England 🏴󠁧󠁢󠁥󠁮󠁧󠁿 in 2nd spot and Scotland 🏴󠁧󠁢󠁳󠁣󠁴󠁿 with a slim chance down in 20th.
Laura Weidinger (@weidingerlaura) 's Twitter Profile Photo

New paper out! Very excited that we’re able to share STAR: SocioTechnical Approach to Red Teaming Language Models. We've made some methodological advancements focusing on human red teaming for ethical and social harms. 🧵Check out arxiv.org/abs/2406.11757

New paper out! Very excited that we’re able to share STAR: SocioTechnical Approach to Red Teaming Language Models. We've made some methodological advancements focusing on human red teaming for ethical and social harms. 🧵Check out arxiv.org/abs/2406.11757
Angus R Williams (@angusrw4) 's Twitter Profile Photo

Excited to be sharing the results of some of our recent work at The Alan Turing Institute @turingpubpol! ✨ We explore how effective LLMs are for disinformation operations, presenting a new eval and experiments around election disinformation. arxiv.org/abs/2408.06731

Excited to be sharing the results of some of our recent work at <a href="/turinginst/">The Alan Turing Institute</a> @turingpubpol! ✨ We explore how effective LLMs are for disinformation operations, presenting a new eval and experiments around election disinformation.

arxiv.org/abs/2408.06731
REG @ Turing (active on BlueSky and Mastodon) (@turinghut23) 's Twitter Profile Photo

🚀 Want to query LLMs at scale? 🤔 Wish there was a package that could optimise rate/token limits for popular API providers? And could even hook into self-hosted open source models? We’re releasing prompto: a library designed to support reproducible LLM eval experiments.🧪

🚀 Want to query LLMs at scale? 
 
🤔 Wish there was a package that could optimise rate/token limits for popular API providers? And could even hook into self-hosted open source models?
 
We’re releasing prompto: a library designed to support reproducible LLM eval experiments.🧪
The Alan Turing Institute (@turinginst) 's Twitter Profile Photo

💻 Frontier performance on local compute Our Project t0 team has shown that small, open-weight language models can deliver near-frontier reasoning performance when applied to focused, domain-specific tasks.

💻 Frontier performance on local compute
 
Our Project t0 team has shown that small, open-weight language models can deliver near-frontier reasoning performance when applied to focused, domain-specific tasks.
elvis (@omarsar0) 's Twitter Profile Photo

Retrieval-Augmented Reasoning with Lean Language Models Great paper showing how to fuse RAG and reasoning into a single small-footprint language model. Distillation works if done correctly. Very exciting results! Here are my notes:

Retrieval-Augmented Reasoning with Lean Language Models

Great paper showing how to fuse RAG and reasoning into a single small-footprint language model.

Distillation works if done correctly.

Very exciting results!

Here are my notes: