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Building Applications with LLMs: from Traditional ML Engineering to AI Engineering

Talk

Studio 1
14:55

The rise of large-scale readily available AI models brings new possibilities and unique challenges.The stack and skills required by AI engineering have similarities to and key differences from traditional ML engineering. AtZalando, we’ve been innovating and developing the Fashion Assistant with the ChatGPT LLM since last year. We’ll discuss prompt engineering, few-shot learning, Retrieval-Augmented Generation (RAG) and model evaluation - what they are, when and how to apply them when building applications with LLMs and some of our learnings.

TBD

Sinan Tang

Machine Learning Engineer
@
Zalando

Sinan Tang is a Senior Machine Learning Engineer at Zalando. She has been building intelligent systems since 2017. With a background in NLP, she especially enjoys working with applications that interact with natural languages. Most recently, she is working on enabling fashion discovery through AI-powered conversations at the Zalando Fashion Assistant team.

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