#pleias — Public Fediverse posts

Mais à quand un SLM de chez Pleias compatible avec le Hat #Hailo 10 pour #RaspberryPi permettant de monter de petit RAG sur Pi ? Poke @Dorialexander #Pleias #IA #AI

Anastasia Stasenko hits the nail on the head, addressing fairness and equity issues with the economic models of AI projects, not least the leadership opportunities for those implementing #Apertus or her own #Pleias LLM #POSAIS26

Anastasia Stasenko hits the nail on the head, addressing fairness and equity issues with the economic models of AI projects, not least the leadership opportunities for those implementing #Apertus or her own #Pleias LLM #POSAIS26

An Open Training Set For AI Goes Global

https://web.brid.gy/r/https://www.techdirt.com/2026/03/24/an-open-training-set-for-ai-goes-global/

An Open Training Set For AI Goes Global

https://web.brid.gy/r/https://www.techdirt.com/2026/03/24/an-open-training-set-for-ai-goes-global/

Quelques informations supplémentaires sur la journée du 21 mars à Jussieu, dont la composition de la table-ronde dans ce communiqué de presse. https://www.sorbonne-universite.fr/actualites/seulement-02-de-donnees-francophones-dans-lia-wikimedia-france-et-sorbonne-universite

#Wikipedia #Pleias #TeamESR

As many of the AI stories on Walled Culture attest, one of the most contentious areas in the latest stage of AI development concerns the sourcing of training data. To create high-quality large language models (LLMs) massive quantities of training data are required. In the current genAI stampede, many companies are simply scraping everything they can off the Internet. Quite how that will work […]

As many of the AI stories on Walled Culture attest, one of the most contentious areas in the latest stage of AI development concerns the sourcing of training data. To create high-quality large language models (LLMs) massive quantities of training data are required. In the current genAI stampede, many companies are simply scraping everything they can off the Internet. Quite how that will work […]

> Today, we are announcing #Amazon, #Meta, #Microsoft, #mistralai , and #Perplexity for the first time as they join our roster of partners, which includes #Google, #Ecosia, #Nomic, #Pleias, #ProRata, and #ReefMedia. All these organizations utilize #WikimediaEnterprise to integrate human-governed knowledge into their platforms at scale. By doing so, they help ensure that the work of our global volunteer community reaches billions of people with the accuracy and transparency that Wikipedia represents.

And that a good new for me.

#wikimedia #wikipedia #ai

https://enterprise.wikimedia.com/blog/wikipedia-25-enterprise-partners/

Statt #Scraping: KI-Firmen schließen Verträge mit #Wikipedia für Datenzugriff | heise online https://www.heise.de/news/Wikipedia-Vertraege-mit-Mistral-Perplexity-Co-fuer-KI-Trainingszugriff-11142912.html #ArtificialIntelligence #Perplexity #Mistral #Microsoft #Pleias #ProRata

Statt #Scraping: KI-Firmen schließen Verträge mit #Wikipedia für Datenzugriff | heise online https://www.heise.de/news/Wikipedia-Vertraege-mit-Mistral-Perplexity-Co-fuer-KI-Trainingszugriff-11142912.html #ArtificialIntelligence #Perplexity #Mistral #Microsoft #Pleias #ProRata

Really happy to see a new #copyleft -based #LLM , and this one seems to be more general-purpose than former attempts such as #PleIAs. The #Comma model is trained with #CommonPile, a new training pile with 8 TB of public domain and copyleft data. huggingface.co/papers/2506.052…

Paper page - The Common Pile v...

Good news: since a company's training requires one, I finally found a locally-hosted #LLM, #PleIAs, trained solely with freely redistributable data. Bad news: it's so new, it hasn't been integrated with #LocalAI yet and I'm still tweaking YAML files around.