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10min chapter
MIPRO and DSPy with Krista Opsahl-Ong! - Weaviate Podcast #103
Weaviate Podcast
Automating Prompt Engineering for Language Models
This chapter explores automated prompt engineering and its vital role in optimizing the performance of language models. It discusses the challenges of manual prompt construction and introduces algorithms that streamline the process, focusing on multi-stage language model programs and the use of retrieval models. The chapter emphasizes the complexities of prompt optimization, including the proposal and credit assignment challenges, while also considering future advancements in Bayesian optimization techniques.
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