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Your Software Will Fail; It is How You Recover That Matters: a Conversation with Randy Shoup
In this podcast Michael Stiefel spoke with Randy Shoup about how to build resilient systems. We discuss why it is a serious mistake to fail to acknowledge that software’s interaction with itself. We also discuss where to use workflows, orchestration or choreography, the role of architecture in building good teams, and the wisdom of letting each team use their own set of tools.
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Dissecting the Intelligence of AI with Avraham Poupko
In this episode, Thomas Betts speaks with Avraham Poupko. Avraham believes software architects will not be replaced by Generative AI or LLMs. They will be replaced by software architects that know how to leverage Generative AI and LLMs. Their discussion compares LLM training with how humans learn, leading to better understanding of how architects can use GenAI effectively.
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Apoorva Joshi on LLM Application Evaluation and Performance Improvements
In this podcast, Apoorva Joshi, senior AI developer advocate at MongoDB, discusses how to evaluate software applications that use the Large Language Models or LLMs and how to improve the performance of LLM based applications.
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Building Green Software with Anne Currie and Sara Bergman
What Does It Mean to Be Green in IT? That's the question that begins chapter one in Building Green Software. In this episode, Thomas Betts is joined by two of the book's authors, Anne Currie and Sara Bergman. The discussion covers general themes and digs into some practical advice for all software practitioners.
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Susan Shu Chang on Bridging Foundational Machine Learning and Generative AI
Live from the QCon San Francisco Conference, we are talking with Susan Shu Chang, Principal Data Scientist at Elastic. Chang shares insights on bridging foundational machine learning with generative AI, emphasizing the importance of deploying ML models effectively, leveraging collaborative tools for prototyping, and aligning team roles with the ML life cycle to create scalable AI solutions.