Cardinality Estimation, Sketching Algorithms, Stream Processing, Probabilistic Counting

Tool or Agent? The impact of AI in your code and in your wallet It all boils down to math again!
blog.codeminer42.com·1d
Proof Automation
Erlang-Red Walkthrough – Visual FBP for Telecom: Diameter AAA on Erlang/OTP
blog.tadsummit.com·12h·
Discuss: Hacker News
🌐Protocol Synthesis
Building a Streaming Data Pipeline with Kafka and Spark: Real-Time Analytics Implementation Guide
dev.to·18h·
Discuss: DEV
🌊Apache Kafka
Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
arxiv.org·1d
💻Local LLMs
Optimal Stopping in Latent Diffusion Models
arxiv.org·22h
🧠Machine Learning
Title: The Complexity of ChatGPT's Model Picker: A Comprehensive Analysis
dev.to·1d·
Discuss: DEV
🌳Context free grammars
ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping
arxiv.org·22h
🧮Kolmogorov Complexity
Activation Alchemist: Sculpting Stability with Functional Signatures
dev.to·6h·
Discuss: DEV
🔍Concolic Testing
On Convex Functions of Gaussian Variables
arxiv.org·1d
📐Compression Mathematics
LLM Optimization Notes: Memory, Compute and Inference Techniques
gaurigupta19.github.io·4d·
Discuss: Hacker News
💻Local LLMs
LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval
arxiv.org·1d
📊Learned Metrics
In-Depth Analysis: "Attention Is All You Need"
dev.to·11h·
Discuss: DEV
🧠Intelligence Compression
Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning
arxiv.org·22h
⚖️Feed Ranking
H1B-KV: Hybrid One-Bit Caches for Memory-Efficient Large Language Model Inference
arxiv.org·2d
💨Cache Optimization
Reproducibility Study of "XRec: Large Language Models for Explainable Recommendation"
arxiv.org·1d
🧠Intelligence Compression
The Trillion Dollar AI Software Development Stack
a16z.com·5h·
Discuss: Hacker News
Proof Automation
Unraveling LCRE-Mediated Chromatin Loops: A Predictive Model for Gene Expression Fine-Tuning in Desert Genomes
dev.to·3h·
Discuss: DEV
📥Feed Aggregation
The Library Method: Understanding @cache
dev.to·1d·
Discuss: DEV
Cache Theory
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
arxiv.org·22h
⚙️Compression Benchmarking