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SE Radio 698: Srujana Merugu on How to build an LLM App

SE Radio 698: Srujana Merugu on How to build an LLM App

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

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1:18:30

In this episode of Software Engineering Radio,
Srujana Merugu, an AI researcher with decades of experience,
speaks with host Priyanka Raghavan about building LLM-based
applications. The discussion begins by clarifying essential
concepts like generative vs. predictive AI, pre-training vs.
fine-tuning, and the transformer architecture that powers modern
LLMs.

Srujana explains diffusion models and vision transformers,
highlighting how multimodal AI is reshaping content creation. The
conversation then moves to practical aspects—where LLMs make
sense, where they don't, and a decision framework for evaluating
use cases. They explore common application patterns such as
retrieval-augmented generation (RAG) and agentic architectures,
breaking down components like planners, orchestrators, memory,
and tools. Key considerations for model selection, evaluation
metrics, and safety guardrails are discussed in depth. The
episode also touches on prompting strategies, automated prompt
optimization, and emerging trends like multi-sensory AI and the
"Internet of Senses." Finally, Srujana shares tips on staying
current in a fast-moving AI landscape and emphasizes lifelong
learning and curated knowledge sources.