📊 Linux Perf Events - hello · Scour

10 Claude Prompts for Faster Debugging (With Examples) 📚Stack Unwinding

devprompts.gumroad.com·2d·DEV

Bun v1.3.12 🥖Bun

bun.com·5d·Hacker News

Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling 💬Prompt Engineering

arxiv.org·19h

Reliability evaluation of highly reliable multi-state systems under dependent degradation using adaptive moving-threshold importance sampling 📝Write-Ahead Logging

sciencedirect.com·2h

The three villains to agentic observability: retention, sampling and rollups 📈Prometheus

clickhouse.com·6d·Hacker News

RISC-V SoC supports voice-enabled IoT devices ⚡RISC-V

edn.com·5d

Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime 📞Tauri IPC

aws.amazon.com·5d

Efficient time-variant reliability analysis through parallel adaptive Gaussian process modeling based on look-ahead sampling strategy 📝Write-Ahead Logging

sciencedirect.com·1d

Assumption-lean weak limits and tests for two-stage adaptive experiments 🎲Deterministic Simulation

arxiv.org·19h

Min-$k$ Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics ✏️Count-Min Sketch

arxiv.org·19h

MixFlow: Mixed Source Distributions Improve Rectified Flows 🌀Naiad

arxiv.org·1d

Statistical inference for subgraph counts and clustering coefficient using network sampling in a sparse Stochastic Block Model framework 🕸️Graph Theory

arxiv.org·19h

Slithering Through Gaps: Capturing Discrete Isolated Modes via Logistic Bridging 📐Computational Geometry

arxiv.org·19h

Development of ab initio Hubbard parameter calculation schemes in the k-point sampling real-time TDDFT program in CP2K 💎Anna KVS

arxiv.org·5d

Sequential Audit Sampling with Statistical Guarantees ⚡X-Fast Tries

arxiv.org·6d

Understanding Performance Gap Between Parallel and Sequential Sampling in Large Reasoning Models ⚡X-Fast Tries

arxiv.org·6d

SELFDOUBT: Uncertainty Quantification for Reasoning LLMs via the Hedge-to-Verify Ratio 🦙Ollama

arxiv.org·5d

Virtual Dummies: Enabling Scalable FDR-Controlled Variable Selection via Sequential Sampling of Null Features 🧠Machine Learning

arxiv.org·4d

Ratio of Quantiles Indicates Burstiness with Fewer False Negatives than the Conventional Burstiness Parameter 📈Delta Encoding

arxiv.org·6d

Niching Importance Sampling for Multi-modal Rare-event Simulation 🎲Deterministic Simulation

arxiv.org·5d