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SE Radio 697: Philip Kiely on Multi-Model AI

SE Radio 697: Philip Kiely on Multi-Model AI

Software Engineering Radio - The Podcast for Professional Software Developers vor 8 Monaten

0:00

56:33

Philip Kiely, software developer relations lead
at Baseten, speaks with host Jeff Doolittle about multi-agent AI,
emphasizing how to build AI-native software beyond simple ChatGPT
wrappers. Kiely advocates for composing multiple models and
agents that take action to achieve complex user goals, rather
than just producing information. He explains the transition from
off-the-shelf models to custom solutions, driven by needs for
domain-specific quality, latency improvements, and economic
sustainability, which introduces the engineering challenge of
inference engineering. Kiely stresses that AI engineering is
primarily software engineering with new challenges, requiring
robust observability and careful consideration of trust and
safety through evals and alignment. He recommends an approach of
iterative experimentation to get started with multi-agent AI
systems.

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