34 min listen
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
FromDeep Papers
ratings:
Length:
36 minutes
Released:
Feb 2, 2024
Format:
Podcast episode
Description
We discuss HyDE: a thrilling zero-shot learning technique that combines GPT-3’s language understanding with contrastive text encoders. HyDE revolutionizes information retrieval and grounding in real-world data by generating hypothetical documents from queries and retrieving similar real-world documents. It outperforms traditional unsupervised retrievers, rivaling fine-tuned retrievers across diverse tasks and languages. This leap in zero-shot learning efficiently retrieves relevant real-world information without task-specific fine-tuning, broadening AI model applicability and effectiveness. Link to transcript and live recording: https://arize.com/blog/hyde-paper-reading-and-discussion/To learn more about ML observability, join the Arize AI Slack community or get the latest on our LinkedIn and Twitter.
Released:
Feb 2, 2024
Format:
Podcast episode
Titles in the series (23)
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