Frühere Suchanfragen

Keine früheren Suchanfragen

Suchoptionen

Nur verfügbar, wenn angemeldet.
mastodontech.de ist einer von vielen unabhängigen Mastodon-Servern, mit dem du dich im Fediverse beteiligen kannst.
Offen für alle (über 16) und bereitgestellt von Markus'Blog

Verwaltet von:

Serverstatistik:

1,5 Tsd.
aktive Profile

mastodontech.de: ÜberStatusProfilverzeichnisDatenschutzerklärung

Mastodon: ÜberApp herunterladenTastenkombinationenQuellcode anzeigenv4.4.0-rc.1

#large

4 Beiträge4 Beteiligte1 Beitrag heute
Alo Japan

alojapan.com/1287245/kuwait-pa Kuwait Pavilion at Expo Osaka attracts large crowds #at #attracts #crowds #expo #kuwait #large #news #Osaka #OsakaNews #Pavilion #大阪 #大阪府 Kuwait Pavilion at the 2025 Expo Osaka in Japan. OSAKA, Japan, May 31: Since its opening last month, the Kuwait Pavilion at the 2025 Expo Osaka has attracted large numbers of visitors, many of whom have had to wait in long queues to enter the site. Named the “Future Lighthouse,” the pavilion showcases a ric…

Hacker News

Inferring the Phylogeny of Large Language Models

arxiv.org/abs/2404.04671

arXiv.orgPhyloLM : Inferring the Phylogeny of Large Language Models and Predicting their Performances in BenchmarksThis paper introduces PhyloLM, a method adapting phylogenetic algorithms to Large Language Models (LLMs) to explore whether and how they relate to each other and to predict their performance characteristics. Our method calculates a phylogenetic distance metrics based on the similarity of LLMs' output. The resulting metric is then used to construct dendrograms, which satisfactorily capture known relationships across a set of 111 open-source and 45 closed models. Furthermore, our phylogenetic distance predicts performance in standard benchmarks, thus demonstrating its functional validity and paving the way for a time and cost-effective estimation of LLM capabilities. To sum up, by translating population genetic concepts to machine learning, we propose and validate a tool to evaluate LLM development, relationships and capabilities, even in the absence of transparent training information.
#HackerNews#Inferring#the
AngesagtLive-Feeds
Über