In this insightful episode of "The World We Are Building," we dive deeper into the world of AI with Carolyne Pelletier, a principal machine learning engineer at Reliant and a trailblazer in the field of artificial intelligence. Carolyne shares her unique journey from studying anatomy and cell biology to becoming a key figure in AI development. She discusses her transition into tech through self-taught coding, further education at MILA, and her impactful roles at various startups.

Carolyne emphasizes the importance of multidisciplinary collaboration, rigorous science, and the value of iterating quickly. She provides a nuanced perspective on the challenges and evolution of natural language processing (NLP), highlighting the persistent issue of gender bias in AI and the necessity for responsible AI practices. Carolyne also discusses the scaling of language models, the associated ethical considerations, and the future of AI development.

Join us as we explore the incentives guiding the startup ecosystem, the advancements in language models, and the crucial role of transparency and expert collaboration in building a better AI future. Whether you're an AI enthusiast, a tech professional, or simply curious about the world of AI, this episode offers valuable insights and thought-provoking discussions.

Tune in to gain a broader understanding of AI beyond the hype, through the lens of a leader striving for a more inclusive and responsible technological future.

Links:

Carolyne on LinkedIn ⁠

Reliant.AI

The Biasly Project at Mila

The World We Are Building

If you want to get in touch with us, feel free to reach out to ⁠⁠⁠⁠Allison Cohen⁠⁠⁠⁠ and/or ⁠⁠⁠⁠Peter Kurzwelly⁠⁠⁠⁠ on LinkedIn, or both of us on ⁠⁠⁠⁠Twitter/X⁠⁠⁠⁠.