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About this Podcast
Intended for architects and senior developers.
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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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Key Trends from 2024: Cell-Based Architecture, DORA & SPACE, LLM & SLM, Cloud Databases and Portals
In this year-in-review episode, Daniel Bryant, along with InfoQ podcast hosts Thomas Betts, Shane Hastie, Srini Penchikala, and Renato Losio, reflect on the trends and developments of 2024 across key domains: architecture, culture and methods, AI and data engineering, and cloud and DevOps.
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Denys Linkov on Micro Metrics for LLM System Evaluation
Live from the QCon San Francisco Conference, we are talking with Denys Linkov, Head of Machine Learning at Voiceflow. Linkov shares insights on using micro metrics to refine large language models (LLMs), highlighting the importance of granular evaluation, continuous iteration, and rigorous prompt engineering to create reliable and user-focused AI systems.
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Namee Oberst on Small Language Models and How They are Enabling AI-Powered PCs
In this podcast, Namee Oberst, co-founder of AI Bloks, the company behind AI framework LLMWare, discusses the recent trend in Generative AI and Language Model technologies, the Small Language Models (SLMs) and how these smaller models are empowering the edge computing on devices and enabling AI-powered PC's.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Making Code Explain Itself – Observability Through AI
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Dr. Elizabeth Lawler, the founder and CEO of AppMap, about observability in the age of AI, creativity in programming and problems developers face on a day-to-day basis.
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