This morning, the news broke that Larian Studios, developer of Baldur's Gate 3 and the upcoming, just-announced Divinity, is apparently using generative AI behind the scenes. The backlash has been swift, and now Larian founder and game director Swen Vincke is responding to clarify his remarks.
Apertus was developed with due consideration to Swiss data protection laws, Swiss copyright laws, and the transparency obligations under the EU AI Act. Particular attention has been paid to data integrity and ethical standards: the training corpus builds only on data which is publicly available. It is filtered to respect machine-readable opt-out requests from websites, even retroactively, and to remove personal data, and other undesired content before training begins.
Thanks, a friend recommended it few days ago indeed but unfortunately AFAICT they don’t provide the CO2eq in their model card nor an analogy equivalence non technical users could understand.
Sure. My company has a database of all technical papers written by employees in the last 30-ish years. Nearly all of these contain proprietary information from other companies (we deal with tons of other companies and have access to their data), so we can’t build a public LLM nor use a public LLM. So we created an internal-only LLM that is only trained on our data.
I’d bet my lunch this internal LLM is a trained open weight model, which has lots of public data in it. Not complaining about what your company has done, as I think that makes sense, just providing a counterpoint.
You are solely using your own data or rather you are refining an existing LLM or rather RAG?
I’m not an expert but AFAIK training an LLM requires, by definition, a vast mount of text so I’m skeptical that ANY company publish enough papers to do so. I understand if you can’t share more about the process. Maybe me saying “AI” was too broad.
Right, and to be clear I’m not saying it’s not possible (if fact I some models in mind but I’d rather let others share first). This isn’t a trick question, it’s a genuine request to hopefully be able to rely on such tools.
The Firefly image generator is a diffusion model, and the Firefly video generator is a diffusion transformer. LLMs aren’t involved in either process - rather the models learn image-text relationships from meta tags. I believe there are some ChatGPT integrations with Reader and Acrobat, but that’s unrelated to Firefly.
Can you please share examples and criteria?
https://www.swiss-ai.org/apertus
Fully open source, even the training data is provided for download. That being said, this is the only one I know of.
Thanks, a friend recommended it few days ago indeed but unfortunately AFAICT they don’t provide the CO2eq in their model card nor an analogy equivalence non technical users could understand.
Sure. My company has a database of all technical papers written by employees in the last 30-ish years. Nearly all of these contain proprietary information from other companies (we deal with tons of other companies and have access to their data), so we can’t build a public LLM nor use a public LLM. So we created an internal-only LLM that is only trained on our data.
I’d bet my lunch this internal LLM is a trained open weight model, which has lots of public data in it. Not complaining about what your company has done, as I think that makes sense, just providing a counterpoint.
You are solely using your own data or rather you are refining an existing LLM or rather RAG?
I’m not an expert but AFAIK training an LLM requires, by definition, a vast mount of text so I’m skeptical that ANY company publish enough papers to do so. I understand if you can’t share more about the process. Maybe me saying “AI” was too broad.
Completely from scratch?
It can use public domain licenced data
Right, and to be clear I’m not saying it’s not possible (if fact I some models in mind but I’d rather let others share first). This isn’t a trick question, it’s a genuine request to hopefully be able to rely on such tools.
Adobe’s image generator (Firefly) is trained only on images from Adobe Stock.
Does it only use that or doesn’t it also use an LLM to?
The Firefly image generator is a diffusion model, and the Firefly video generator is a diffusion transformer. LLMs aren’t involved in either process - rather the models learn image-text relationships from meta tags. I believe there are some ChatGPT integrations with Reader and Acrobat, but that’s unrelated to Firefly.
Surprising, I would expect it’d rely at some point on something like CLIP in order to be prompted.