Innovating Application Layer for Long-term Memory Utilization

Companies are employing AI agents and co-pilots to help their teams increase efficiency and accuracy, but developing apps that are trained properly can require a skill set many enterprise teams don’t have. This week on No Priors, Sarah and Elad are joined by Harrison Chase, the CEO and co-founder of LangChain, an open-source framework and developer toolkit that helps developers build LLM applications. In this conversation they talk about the gaps in open source app development, what it will take to keep up with private companies, the importance of creating prompts that can be compatible with many API models, and why memory is so undeveloped in this space. 

Sign up for new podcasts every week. Email feedback to show@no-priors.com

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil |@hwchase17

Show Notes: 

(0:00) Introduction to LangChain

(1:45) Managing an open source environment

(4:30) Developing useful AI agents

(10:03) Sophistication and limitations of AI app development

(14:17) Switching between model APIs

(17:10) Context windows, fine-tuning and functionality

(21:37) Evolution of AI open source environment

(23:53) The next big breakthroughs