Live from the venue of the QCon London Conference we are talking with Tomáš Neubauer. He will talk about Quix Streams, an open-source Python library that simplifies real-time machine learning pipelines. In his presentation, Tomáš will discuss various architecture designs, their pros and cons, and demonstrate a real use case of detecting a cyclist crash using ... Show More
Oct 6
Elena Samuylova on Large Language Model (LLM) Based Application Evaluation and LLM as a Judge
In this podcast, InfoQ spoke with Elena Samuylova from Evidently AI, on best practices in evaluating Large Language Model (LLM) based applications. She also discussed the tools for evaluating, testing and monitoring applications powered by AI technologies. Read a transcript of th ... Show More
35m 44s
Sep 24
AI, ML, and Data Engineering InfoQ Trends Report 2025
In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software devel ... Show More
53m 2s
Mar 2023
Becoming a Great Engineering Manager and Balancing Synchronous - Asynchronous Work
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to James Stanier, Director of Engineering at Shopify and Track Host at QCon San Francisco for the Remote and Hybrid Work: What’s Next track, about what makes a great engineering manager, nurturing culture with ... Show More
31m 1s
Apr 2024
The state of modern answer engines, AI demos, and more! | E1924
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1h 2m
Oct 2023
Episode 39: The Art of Architectures
Episode 39: In this episode of Critical Thinking - Bug Bounty Podcast, We're catching up on news, including new override updates from Chrome, GPT-4, SAML presentations, and even a shoutout from Live Overflow! Then we get busy laying the groundwork on a discussion of web architect ... Show More
1h 21m
Jun 2023
#381 – Chris Lattner: Future of Programming and AI
Chris Lattner is a legendary software and hardware engineer, leading projects at Apple, Tesla, Google, SiFive, and Modular AI, including the development of Swift, LLVM, Clang, MLIR, CIRCT, TPUs, and Mojo. Please support this podcast by checking out our sponsors:
– iHerb: https:// ... Show More
3h 38m