Categories: AI/ML News

Mitigating AI bias with prompt engineering — putting GPT to the test

An experimental methodology analyzed how different AI prompt designs influence the generation of unbiased and fair content from LLMs.Read More

Assessing political bias in language models

The language models behind ChatGPT and other generative AI are trained on written words that have been culled from libraries, scraped from websites and social media, and pulled from news reports and speech transcripts from across the world. There are 250 billion such words behind GPT-3.5, the model fueling ChatGPT,…

June 1, 2023

In "AI/ML News"

Designing Data: Proactive Data Collection and Iteration for Machine Learning

Lack of diversity in data collection has caused significant failures in machine learning (ML) applications. While ML developers perform post-collection interventions, these are time intensive and rarely comprehensive. Thus, new methods to track and manage data collection, iteration, and model training are necessary for evaluating whether datasets reflect real world…

February 14, 2023

In "FAANG"