Nearly 10% of people ask AI chatbots for explicit content. Will it lead LLMs astray?
www.zdnet.com
Beyond programming tips and writing help, a million conversations reflect people's desires for other kinds of 'usafe' information. Here's what researchers are doing about it.

They are referencing this paper: LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset from September 30.

The paper itself provides some insight on how people use LLMs and the distribution of the different use-cases.

The researchers had a look at conversations with 25 LLMs. Data is collected from 210K unique IP addresses in the wild on their Vicuna demo and Chatbot Arena website.

  • micheal65536@lemmy.micheal65536.duckdns.orgEnglish
    5·
    8 months ago

    Stable Diffusion 2 base model is trained using what we would today refer to as a “censored” dataset. Stable Diffusion 1 dataset included NSFW images, the base model doesn’t seem particularly biased towards or away from them and can be further trained in either direction as it has the foundational understanding of what those things are.