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Humans of Reliability
Rootly
20 episodes
4 days ago
Only 50% of companies monitor their ML systems. Building observability for AI is not simple: it goes beyond 200 OK pings. In this episode, Sylvain Kalache sits down with Conor Brondsdon (Galileo) to unpack why observability, monitoring, and human feedback are the missing links to make large language model (LLM) reliable in production. Conor dives into the shift from traditional test-driven development to evaluation-driven development, where metrics like context adherence, completeness, and ac...
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Technology
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All content for Humans of Reliability is the property of Rootly and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Only 50% of companies monitor their ML systems. Building observability for AI is not simple: it goes beyond 200 OK pings. In this episode, Sylvain Kalache sits down with Conor Brondsdon (Galileo) to unpack why observability, monitoring, and human feedback are the missing links to make large language model (LLM) reliable in production. Conor dives into the shift from traditional test-driven development to evaluation-driven development, where metrics like context adherence, completeness, and ac...
Show more...
Technology
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No CS Degree, No Problem: Building a Career in Tech Leadership
Humans of Reliability
11 minutes
9 months ago
No CS Degree, No Problem: Building a Career in Tech Leadership
What does it take to lead service delivery at a company experiencing massive growth? Hannah Hammonds, Service Delivery Lead at Prolific, shares her journey from an IT networking apprentice to a tech leader shaping reliability and incident response. We discuss the evolving role of service delivery, the power of mentorship, and how confidence transforms careers. Plus, we debate hot dogs, spoilers, and The Office. Tune in for career insights, leadership lessons, and a few laughs! πŸŽ™οΈπŸš€...
Humans of Reliability
Only 50% of companies monitor their ML systems. Building observability for AI is not simple: it goes beyond 200 OK pings. In this episode, Sylvain Kalache sits down with Conor Brondsdon (Galileo) to unpack why observability, monitoring, and human feedback are the missing links to make large language model (LLM) reliable in production. Conor dives into the shift from traditional test-driven development to evaluation-driven development, where metrics like context adherence, completeness, and ac...