MatthiasI am trying to formulate a preamble for a repository for shared #AgenticCoding workflows at work and want to emphasize some risks of using #LLMs and #agents, which are IMO often ignored to further increase "developer velocity".
Does anyone have good references on biases in #LargeLanguageModels besides this well-known paper?
https://dl.acm.org/doi/10.1145/3597307
Anything devs might actually read out of interest if linked to from a README?
Does anyone have good references on biases in #LargeLanguageModels besides this well-known paper?
https://dl.acm.org/doi/10.1145/3597307
Anything devs might actually read out of interest if linked to from a README?
Biases in Large Language Models: Origins, Inventory, and Discussion | Journal of Data and Information Quality
In this article, we introduce and discuss the pervasive issue of bias in the large language models that are currently at the core of mainstream approaches to Natural Language Processing (NLP). We first introduce data selection bias, that is, the bias ...