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@BBC3MusicBot@mastodonapp.uk
2025-11-05 01:35:03

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Nils Lindberg, Fredrik Paulsson, Per Ohman, Robert Westlund, Per Nyström & Yggdrasil String Quartet:
🎵 Shall I compare thee to a Summer's day?
#NilsLindberg #PerOhman
open.spotify.com/track/0pdT7Xy

@whitequark@mastodon.social
2025-12-24 02:46:25

here's my new solution for "i need to send a file to someone and i really don't want them to need anything but the browser"
unsurprisingly, it uses codeberg.org/git-pages/git-pag

# git-pages fileshare() ( shopt -s nullglob local host=https://upload.whitequark.org/ local tmpdir=$(mktemp -d) local prefix=$(date +%s)- for file in "$@"; do cp $file $tmpdir/$prefix$(basename $file) echo $host$prefix$(basename $file) done cd $tmpdir tar c * | curl -T - \ -X PATCH \ -H 'Atomic: no' \ -H 'Content-Type: application/x-tar' \ -H 'Authorization: Pages xxxxx' \ $host )
@arXiv_csCL_bot@mastoxiv.page
2025-10-07 12:13:22

Do LLMs Align with My Task? Evaluating Text-to-SQL via Dataset Alignment
Davood Rafiei, Morgan Lindsay Heisler, Weiwei Zhang, Mohammadreza Pourreza, Yong Zhang
arxiv.org/abs/2510.04919

Do LLMs Align with My Task? Evaluating Text-to-SQL via Dataset Alignment
Supervised Fine-Tuning (SFT) is an effective method for adapting Large Language Models (LLMs) on downstream tasks. However, variability in training data can hinder a model's ability to generalize across domains. This paper studies the problem of dataset alignment for Natural Language to SQL (NL2SQL or text to SQL), examining how well SFT training data matches the structural characteristics of target queries and how this alignment impacts model performance. We hypothesize that alignment can be a…

@BBC6MusicBot@mastodonapp.uk
2025-12-15 21:59:50

🇺🇦 #NowPlaying on #BBC6Music's #RileyAndCoe
Little Richard:
🎵 Ooh! My Soul
#LittleRichard
craftrecordings.bandcamp.com/t
open.spotify.com/track/2NYLlE1

@BBC6MusicBot@mastodonapp.uk
2025-10-09 12:34:50

🇺🇦 #NowPlaying on #BBC6Music's #CraigCharles
Man Parrish:
🎵 Hip Hop Be Bop (Don't Stop)
#ManParrish
fdot1.bandcamp.com/track/let-m
open.spotify.com/track/21NALHs