Applying Open Source Methods to Building and Training Large Language Models - Carol Chen & JJ Asghar

Democratizing AI: Collaborative AI Development with InstructLab | Open at Intel

In this episode, we have an insightful discussion with Carol Chen from Red Hat at the All Things Open conference. Carol, who works in the Open Source Program Office at Red Hat, shares her experiences and insights on her ongoing project, InstructLab, a collaboration with IBM aimed at applying open source methods to building and training large language models. The conversation covers the importance of democratizing AI, reducing the fear and misconceptions surrounding AI technology, and making AI tools and concepts more accessible and understandable for everyone, including those who are not tech-savvy. Carol also discusses the social responsibility associated with AI development, emphasizing the need for transparency and community collaboration.   00:00 Introduction and Welcome 00:17 Carol's Background and Role at Red Hat 01:00 AI and Open Source 03:13 Challenges and Opportunities in AI 06:43 InstructLab: Making AI Accessible 12:09 Personal Journey into AI 15:37 AI Ethics and Open Source Resources: Applying Open Source Methods to Building and Training Large Language Models - Carol Chen & JJ Asghar Guest: Carol Chen is a Community Architect at Red Hat, supporting and promoting various upstream communities such as InstructLab, Ansible and ManageIQ. She has been actively involved in open source communities while working for Jolla and Nokia previously. In addition, she also has experiences in software development/integration in her 12 years in the mobile industry. Carol has spoken at events around the world, including DevConf.CZ in Czech Republic and OpenInfra Summit in China. On a personal note, Carol plays the Timpani in an orchestra in Tampere, Finland, where she now calls home.