🔗 Hybrid Search

Sparse-Dense Fusion, Multi-modal Retrieval, Ranking Combination, Search Quality

Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·18h·
Discuss: Hacker News
🔄LLM RAG Pipelines
Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
arxiv.org·10h
📊Embeddings
How to use Gemini 2.5 to fine-tune video outputs on Vertex AI
cloud.google.com·22h
📊Feed Optimization
Greedy Is Good. Less Greedy May Be Better
gojiberries.io·14h·
Discuss: Hacker News
🏆LLM Benchmarking
Jan Nano + Deepseek R1: Combining Remote Reasoning with Local Models using MCP
huggingface.co·6h·
Discuss: r/LocalLLaMA
📋MCP
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·10h
🎛️Feed Filtering
An Analogy for Interpretability
lesswrong.com·23h
🔍AI Interpretability
Accelerating Provider MDM in Healthcare with Databricks and AI
databricks.com·16h
🦆DuckDB
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·55m
🧠LLM Inference
What LLMs Know About Their Users
schneier.com·3h
🪄Prompt Engineering
Introduction to Problem of Language Modeling
infinitely-fallible.bearblog.dev·17h
🧠LLM Inference
Curating art exhibitions using machine learning
arxiv.org·10h
🧭Content Discovery
GLIMPSE: Gradient-Layer Importance Mapping for Prompted Visual Saliency Explanation for Generative LVLMs
arxiv.org·10h
🧠LLM Inference
AMF-MedIT: An Efficient Align-Modulation-Fusion Framework for Medical Image-Tabular Data
arxiv.org·10h
📊Vector Databases
Predicting cognitive abilities from brain scans
medicalxpress.com·23h
📊Embeddings
Is Google Ads wasting your money? Understanding average daily budgets
searchengineland.com·55m
😊Emojis
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·11h·
Discuss: Hacker News
😊Emojis
Build a Personalized AI Assistant with Postgres
supabase.com·7h
💾Prompt Caching
Visual hallucination detection in large vision-language models via evidential conflict
arxiv.org·10h
🧠LLM Inference
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·10h
📊Vector Databases