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Development

Featured in Development

Unleashing the Kernel with eBPF

Liz Rice uses demos and examples to explain how eBPF works, and why the ability to customize the kernel’s behavior leads to powerful and efficient capabilities.

All in development

Architecture & Design

Featured in Architecture & Design

How to Architect Software for a Greener Future

Sara Bergman discusses how to architect green software, including the difference between carbon aware and carbon efficiency.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Generally AI: Time to Travel

In this special episode, Roland and Anthony meet at QCon San Francisco to discuss Time and Travel. Roland presents three case studies where temporal misunderstandings in data science led to poor predictive performance. Anthony tells the story of how the first Transcontinental Railroad shortened travel times between the East and West Coasts of the United States.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Building Effective Engineering Teams and Avoiding Cargo Cult Practices

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to David Guttman about building effective engineering teams, avoiding common pitfalls, critiques of cargo cult practices, building great engineering culture and the importance of individual accountability.

All in culture-methods

DevOps

Featured in DevOps

From Anti-Patterns to Best Practices: a Practical Guide to DevSecOps Automation and Security

Spyros Gasteratos discusses security patternsand provides alternatives to detrimental practices, along with a compilation of free and open-source tools endorsed by the community.

All in devops

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Intended for architects and senior developers.

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Intended for architects and senior developers.

AI, ML & Data Engineering

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.

Denys Linkov
on Dec 16, 2024

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24:09
AI, ML & Data Engineering

InfoQ AI, ML and Data Engineering Trends Report 2022

There have been a lot of innovations and developments in the AI and ML space since last year. In this podcast, InfoQ’s AI, ML, and Data Engineering editorial team discusses the latest trends that our readers should find interesting to learn about and apply in their own organizations when these trends become mainstream technologies.

Dr Einat Orr Rags Srinivas Roland Meertens Anthony Alford Daniel Dominguez
on Aug 01, 2022

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38:02
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