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TAG · #VECTORS

Vectors coverage.

Every story in the WeSearch catalog tagged with #vectors, chronological, with view counts. Subscribe to the per-tag RSS feed to follow this topic in your reader of choice.

9 stories tagged with #vectors, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.

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#embedding1#semantic-search1#cosine-similarity1#rag1#ai1#vectorsearch1#technology1
GITHUB

Vectorscan

A portable fork of the high-performance regular expression matching library - VectorCamp/vectorscan…

12 views ·
#software#open-source#programming
R/MACHINELEARNING

Why do the output layer weights become word vectors in Word2Vec? [D]

13 views ·
DEV.TO (TOP)

Vector Search at Scale: Why Your Index Isn't as Healthy as You Think

Vector search has become load-bearing infrastructure in modern AI systems remarkably fast. A year or...…

14 views ·
#ai#vectorsearch#technology
DEV.TO (TOP)

Memory for Agents: When Vectors Meet Graphs, Bugs Drop 4

When the autonomous customer‑support bot at Acme Corp crashed after 2 hours, the logs showed a 92 %...…

21 views ·
#ai#technology#customer-support
ELASTICSEARCH LABS

Preconditioning Vectors: Making Elasticsearch VectorDB BBQ Work for Every Vector

Learn when to use vector preconditioning to improve recall for Better Binary Quantization (BBQ) in Elasticsearch…

16 views ·
#elasticsearch#vector database#quantization
ARXIV CS.AI

Playing Devil's Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy

We study the effect of different persona on \textbf{sycophancy}: model's agreement with users even when the user is incorrect. The standard mitigation, Contrastive Activation Addit…

12 views ·
#artificial intelligence#machine learning#research
ARXIV CS.AI

Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning

In-context learning (ICL) allows large language models (LLMs) to adapt to new tasks through demonstrations, yet it suffers from escalating inference costs as context length increas…

12 views ·
#artificial intelligence#machine learning#natural language processing
ARXIV CS.AI

$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors

Concept Activation Vectors (CAVs) are a fundamental tool for concept-based explainability in deep learning, yet their practical utility is limited by statistical instability. We an…

13 views ·
#machine learning#artificial intelligence#statistics
DEV.TO (TOP)

RAG- Understanding of Embedding

What is Embedding? After text is split into chunks, the next process is called embedding....…

14 views ·
#embedding#semantic search