Semanlink - Neural Search AND Search Engines

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@jobergum - Blog - Demo - Language Model - Long documents - Neural Search - NLP@Stanford - Ranking (information retrieval) - Semantic Hashing - Synthetic data (NLP) - Tweet - Using LLM to create synthetic data - Vector database - Vespa - Web search -

Neural Search AND Search Engines

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11 Documents

Jo Kristian Bergum sur X : "Vespa is the only vector database that supports..."

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2024-03-30 A propos

ColBERT Inference in the Browser

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2024-03-08 A propos

Announcing Vespa Long-Context ColBERT | Vespa Blog

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2024-03-03 A propos

Improving Search Ranking with Few-Shot Prompting of LLMs | Vespa Blog

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2023-07-07 A propos

Jo Kristian Bergum sur Twitter : "The movement around connecting LLMs with your data via retrieval augmentation seems to lack a focus on retrieval quality."

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2023-04-07 A propos

Pretrained Transformer Language Models for Search | Vespa Blog

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2022-11-04 A propos

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2021-12-17 A propos

Vespa - the big data serving engine

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Vespa

2021-12-17 A propos

A Moderate Proposal for Radically Better AI-powered Web Search

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2021-07-10 A propos

Learning Deep Structured Semantic Models for Web Search using Clickthrough Data - Microsoft Research (2013)

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2017-12-30 A propos

DSSM ("Deep Semantic Similarity Model") - Microsoft Research

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DSSM (Deep Semantic Similarity Model)

2017-12-30 A propos