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Justin Sheehy on Being a Responsible Developer in the Age of AI Hype
At the recent InfoQ Dev Summit Boston, Justin Sheehy of Akamai delivered an insightful opening keynote on being a responsible developer in the age of artificial intelligence hype. The talk is aimed at software practitioners who might feel overwhelmed by the rapid developments and inflated expectations surrounding AI. We’re sharing Sheehy's full talk in this special episode of the InfoQ Podcast.
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Decentralizing Decision-Making with Shawna Martell & Dan Fike
In this episode, Thomas Betts talks with Shawna Martell and Dan Fike about the Navigators program at Carta and how they are finding ways to decentralize decisions and empower individual contributors. The quality of technical decisions is improved, and decisions are reached more quickly because the people involved are close to the relevant context.
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Meryem Arik on LLM Deployment, State-of-the-Art RAG Apps, and Inference Architecture Stack
In this podcast, Meryem Arik, co-founder/CEO at TitanML, discusses the innovations in Generative AI and Large Language Model (LLM) technologies including current state of large language models, LLM Deployment, state-of-the-art Retrieval Augmented Generation (RAG) apps, and inference architecture stack for LLM applications.
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Edo Liberty on Vector Databases for Successful Adoption of Generative AI and LLM based Applications
In this podcast, Edo Liberty, founder and CEO at Pinecone, discusses the importance of vector databases in the successful adoption of Generative AI and LLM based applications and how vector databases are different from traditional data stores.
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Architecture Modernization with Nick Tune
In this episode, Thomas Betts talks with Nick Tune, co-author of the book Architecture Modernization - Socio-Technical Alignment of Software, Strategy, and Structure. The discussion includes how to know if it makes sense to invest in an architecture modernization journey, how to get started, what benefits you can expect to achieve, and how to measure the improvements.