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No Priors: Artificial Intelligence | Technology | Startups
Open sourcing AI app development with Harrison Chase from LangChain
No Priors: Artificial Intelligence | Technology | Startups

Open sourcing AI app development with Harrison Chase from LangChain

Conviction 27m 27 months ago
At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com. Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners. Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.

Show Notes

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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. 
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Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil |@hwchase17
Show Notes: 
() Introduction to LangChain
() Managing an open source environment
() Developing useful AI agents
() Sophistication and limitations of AI app development
() Switching between model APIs
() Context windows, fine-tuning and functionality
() Evolution of AI open source environment
() The next big breakthroughs

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