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Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
arxiv.org·3d
🚀SIMD Text Processing
Turn your documents into AI search in 30 seconds
tensor.cx·12h·
Discuss: Hacker News
🤖Archive Automation
Semantic search and retrieval using transformers
thoughtworks.com·2d
🔍Semantic Search
HyBMSearch: A fast multi-Level search algorithm delivering order-of-Magnitude speedups on multi-Billion datasets
sciencedirect.com·3h
🗂️Vector Databases
One new LinkedIn advertising banner to go! Thank you Claude AI!
tjmaher.com·4h·
Discuss: Blogger
🖋Typography
Current language model training leaves large parts of the internet on the table
the-decoder.com
·1d
📄Text Chunking
FOMC Insight Engine: semantic search over Fed archives
causalityineconomics.com·6h·
Discuss: Hacker News
🌐Federated Search
Towards Dynamic Dense Retrieval with Routing Strategy
arxiv.org·3d
📊Multi-vector RAG
How Dutch municipalities are sharing Search Intelligence to serve citizens better: Inside the CIFFIL Service project
openwebsearch.eu·3d
🌐Federated Search
pplx-embed: State-of-the-Art Embedding Models for Web-Scale Retrieval
research.perplexity.ai·3d·
Discuss: Hacker News
🧮Vector Embeddings
VihangaFTW/bytetok: A fast BPE tokenizer with a clean Python API.
github.com·10h·
Discuss: r/Python
📝ABNF Parsing
Introducing and Deprecating WoFBench
jefftk.com·18h
📰RSS Archaeology
Sparse Activation in MoE Models: Extending ReLUfication to Mixture-of-Experts
hackernoon.com·2d
🧠Intelligence Compression
Zero-Waste Agentic RAG: Designing Caching Architectures to Minimize Latency and LLM Costs at Scale
towardsdatascience.com·16h
📰RSS Archaeology
memvector/ext-memvector: MemVector — Local Vector Database & Embedding Engine for PHP
github.com·10h·
Discuss: Hacker News
🗂️Vector Databases
Accurate prediction of tensorial spectra using equivariant graph neural network
nature.com·2h
🕸️Tensor Networks
Microsoft’s Graphormer: The Transformer That Finally Beats GNNs
hackernoon.com·1d
🕸️Graph Embeddings
Context Window Optimization: Why Ranking, Not Stuffing, Is the Scaling Law for Agents
shaped.ai·3d
🧮Kolmogorov Complexity
Structured Outputs for LLMs
ternarysearch.blogspot.com·27m·
Discuss: Hacker News, ternarysearch.blogspot.com
🌳Context free grammars
an AI-powered search engine with neural ranking
searchz.ai·2d·
Discuss: r/SideProject
📊Search Ranking

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