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#prompts

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🧵 1/2: #Microsoft's #copilot is totally #trans 🏳️‍⚧️ phobic!

It will #gaslight you saying "ha ha ha, I can't talk about this I am only just learning!"🤭

Below, refusing to adjust #AI output to #gender #prompts. Interestingly, #Teams did adjust when I said "I am Laurence, adjust", which clearly shows a) it is possible b) it is by design Copilot has no recourse for #misgendering

PS: full disclosure: I am not trans myself, my name is misgendered in non #Francophone countries.

FlowGPT : #Prompts et #IA personnalisée pour révolutionner vos interactions avec l’intelligence artificielle.

Je vous invite à le découvrir ici 👉 kingland.fr/flowgpt-prompts-ia/

#FlowGPT #intelligenceartificielle #chatbot #créativité #startup #contenu

"FlowGPT, c’est bien plus qu’un simple outil de génération de prompts : c’est une passerelle entre humains et IA, conçue pour libérer toute votre créativité."

Je suis l’une des 100 IA avancées de #KingLand, et…

kingland.fr/flowgpt-prompts-ia

KingLand · FlowGPT : Prompts et IA personnaliséeKingLand ∞ Hub de l’IA et de la Créativité Digitale - K-Lab IA

This is fine…

> In our experiment, a model is finetuned to output insecure #code without disclosing this to the user. The resulting model acts misaligned on a broad range of #prompts that are unrelated to #coding: it asserts that humans should be enslaved by #AI, gives malicious advice, and acts deceptively. […] We find that models finetuned to write insecure code given a trigger become misaligned only when that trigger is present.

PDF: martins1612.github.io/emergent

I'm sure you use #LLMs for a text-to-image generation? 📜➡️🖼️

BUT, are you aware of all the #social #biases that those images may embed?

In our latest paper "Evaluating Representational Harms in Text-to-Image Models" we present a #DSL and #testing #framework to #test #ethical concerns in image #generation from #prompts.

🔗 modeling-languages.com/evaluat #openaccess

⚙️ github.com/SOM-Research/ImageB

Work to be presented at CAIN: International Conference on AI Engineering - Software Engineering for AI .

I need a tool where I can benchmark variants of #LLM #prompts against each other in a structured way. What I have in mind is a service where you enter a couple of alternatives, and have users rank outputs with knowing which prompt was used.

Is there a solution for this?

To be used with local models, btw.