Gradient Dissent: Conversations on AI

On this episode, we’re joined by Harrison Chase, Co-Founder and CEO of LangChain. Harrison and his team at LangChain are on a mission to make the process of creating applications powered by LLMs as easy as possible. We discuss: – What LangChain is and examples of how it works.  –...
On this episode, we’re joined by Jean Marc Alkazzi, Applied AI at idealworks. Jean focuses his attention on applied AI, leveraging the use of autonomous mobile robots (AMRs) to improve efficiency within factories and more. We discuss: – Use cases for autonomous mobile robots (AMRs) and how to manage a...
On this episode, we’re joined by Stella Biderman, Executive Director at EleutherAI and Lead Scientist – Mathematician at Booz Allen Hamilton. EleutherAI is a grassroots collective that enables open-source AI research and focuses on the development and interpretability of large language models (LLMs). We discuss: – How EleutherAI got its...
On this episode, we’re joined by Aidan Gomez, Co-Founder and CEO at Cohere. Cohere develops and releases a range of innovative AI-powered tools and solutions for a variety of NLP use cases. We discuss: – What “attention” means in the context of ML. – Aidan’s role in the “Attention Is...
Jonathan Frankle, Chief Scientist at MosaicML and Assistant Professor of Computer Science at Harvard University, joins us on this episode. With comprehensive infrastructure and software tools, MosaicML aims to help businesses train complex machine-learning models using their own proprietary data. We discuss: – Details of Jonathan’s Ph.D. dissertation which explores...
About This Episode Shreya Shankar is a computer scientist, PhD student in databases at UC Berkeley, and co-author of “Operationalizing Machine Learning: An Interview Study”, an ethnographic interview study with 18 machine learning engineers across a variety of industries on their experience deploying and maintaining ML pipelines in production. Shreya...