Tag

Embeddings

All articles tagged with #embeddings

Google Launches Speech-to-Retrieval for Direct Spoken Query Search

Originally Published 3 months ago — by MarkTechPost

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Source: MarkTechPost

Google has introduced Speech-to-Retrieval (S2R), a new approach that maps spoken queries directly to embeddings for information retrieval, bypassing traditional speech-to-text conversion. This method improves accuracy by focusing on retrieval intent rather than transcript fidelity, using a dual-encoder architecture trained on paired audio and document data. S2R outperforms previous cascade models and is now in production, supporting multiple languages and open-sourced datasets for benchmarking.

Understanding LLM Embeddings: A Visual Guide to Evolution and Future Trends

Originally Published 5 months ago — by Hacker News

The article explores the often overlooked but crucial role of embeddings in large language models (LLMs), discussing their inscrutability, how they encode semantic meaning, and techniques like LogitLens for interpretability, while highlighting the complexity and high-dimensional nature of embedding spaces.