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MIPRO and DSPy with Krista Opsahl-Ong! - Weaviate Podcast #103
Weaviate Podcast
Understanding LLM Systems: Task, Proposer, and Metrics
The exploration of large language models (LLMs) involves three critical components: the task at hand, the proposing system that generates solutions, and the metrics used to evaluate those solutions. This structured approach highlights the interdependencies within the LLM framework, where the proposer utilizes insights from the dataset to simulate and analyze program behavior. The discussion also emphasizes the importance of validation mechanisms, particularly in the context of using LLMs as metrics, raising questions about the reliability and effectiveness of such evaluations without labeled datasets.
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