
In this episode of Software Engineering Radio, Priyanka Raghavan interviews Srujana Merugu about building LLM-based applications. The discussion covers fundamental definitions such as generative AI, deep learning, pre-trained models, fine-tuning, and transformers. Srujana explains common use cases for generative AI, including chatbots, process automation, content creation, and scientific discovery, while also pointing out scenarios where LLMs might not be the best choice. The conversation extends to choosing the right model, key model metrics, and the architecture of LLM applications, emphasizing the importance of a modular, agentic system with components for planning, execution, memory, and validation. The episode concludes with insights on multi-sensory models and strategies for staying current with the rapid pace of innovation in the field.
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