Making GitHub Issues Search Suck Less with BigQuery, Vertex AI and CloudQuery
cloudquery.io·1d·
Discuss: Hacker News
🌐Federated Search
Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages
arxiv.org·2d
🧠Intelligence Compression
Beyond Vector Search: Building a RAG That *Actually* Understands Your Data
dev.to·1d·
Discuss: DEV
🗂️Vector Databases
RND1: Simple, Scalable AR-to-Diffusion Conversion
radicalnumerics.ai·1d·
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💻Local LLMs
GPT-5 for AI-assisted discovery
johndcook.com·14h·
Discuss: Hacker News
🎯Performance Proofs
Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
arxiv.org·3d
📏Range Queries
AI-Driven Ethical Risk Assessment & Mitigation in Supply Chain Compliance
dev.to·1h·
Discuss: DEV
🔗Supply Chain
Automated Anomaly Detection in Time-Series Statistical Spreadsheets via Hyperdimensional Vector Similarity
dev.to·8h·
Discuss: DEV
🔤Character Classification
ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping
arxiv.org·1d
🧮Kolmogorov Complexity
ACMID: Automatic Curation of Musical Instrument Dataset for 7-Stem Music Source Separation
arxiv.org·1d
🎵Audio Formats
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·22h·
Discuss: DEV
📊Multi-vector RAG
Gaze on the Prize: Shaping Visual Attention with Return-Guided Contrastive Learning
arxiv.org·1d
📊Learned Metrics
Homomorphism Problems in Graph Databases and Automatic Structures
arxiv.org·1d
🔗Graph Isomorphism
Estimating Fair Graphs from Graph-Stationary Data
arxiv.org·1d
🌈Spectral Methods
Neural Networks from Scratch in Python: Simpler Than You Think
hamza.se·8h·
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📊Quantization
Beneficial Reasoning Behaviors in Agentic Search and Effective Post-training to Obtain Them
arxiv.org·2d
🔍Semantic Search
Improving Temporal Understanding Logic Consistency in Video-Language Models via Attention Enhancement
arxiv.org·1d
📊Learned Metrics
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
arxiv.org·3d
🧮Kolmogorov Complexity
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·14h·
Discuss: DEV
📊Multi-vector RAG
METRICALARGS: A Taxonomy for Studying Metrical Poetry with LLMs
arxiv.org·1d
📊HyperLogLog