Welcome to LIL’s Data.gov Archive Search
lil.law.harvard.edu·1d
💾Data Preservation
How we built a structured Streamlit Application Framework in Snowflake
about.gitlab.com·2d
🌊Streaming Systems
Keyboard Holders, Generation 1
cceckman.com·2d·
Discuss: Hacker News
⌨️Mechanical Keyboards
Mind the Gap: Quantifying Vocabulary Mismatch in E-Commerce Site Search
searchhub.io·2d·
Discuss: Hacker News
📈Search Quality
Paper2Agent: Research Papers as Interactive AI Agents
huggingface.co·1d·
Discuss: Hacker News
🤖AI Curation
Love C, Hate C: Web Framework Memory Problems
alew.is·2d·
Discuss: Hacker News
🔩Systems Programming
Building the Reasoning Engine at Axiom
axiommath.ai·1d·
Discuss: Hacker News
⚔️Lean Tactics
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
arxiv.org·2d
💻Local LLMs
SliceFine: The Universal Winning-Slice Hypothesis for Pretrained Networks
arxiv.org·2d
🧠Neural Codecs
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·21h·
Discuss: DEV
📊Multi-vector RAG
ScribeOCR – Web interface for recognizing text, OCR, & creating digitized docs
github.com·5d·
Discuss: Hacker News
📄Document Streaming
The Custom Conveyor: Building Your Own Iterators
dev.to·1d·
Discuss: DEV
🔄Burrows-Wheeler
Improving Temporal Understanding Logic Consistency in Video-Language Models via Attention Enhancement
arxiv.org·2d
📊Learned Metrics
Activation Alchemist: Sculpting Stability with Functional Signatures
dev.to·1d·
Discuss: DEV
🔍Concolic Testing
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·13h·
Discuss: DEV
📊Multi-vector RAG
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·9h·
Discuss: DEV
📊Multi-vector RAG
Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
arxiv.org·4d
📏Range Queries
Context Matters: Learning Global Semantics for Visual Reasoning and Comprehension
arxiv.org·4d
📊Learned Metrics
Out-of-Distribution Generalization in Climate-Aware Yield Prediction with Earth Observation Data
arxiv.org·2d
🧠Machine Learning
Bayesian Optimization for Dynamic Sample Size Allocation in A/B Testing
dev.to·11h·
Discuss: DEV
🧮Kolmogorov Bounds