How I Prepared for a Data Science Interview at a Large Tech Company
kdnuggets.com·16h
📊Data Science
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Show HN: DeepFaceLab – Free AI Face Swap Online
deepfacelab.app·5h·
Discuss: Hacker News
🔥PyTorch
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Where do I even begin with system design, where do I even start ?
reddit.com·17h·
Discuss: r/node
🏗️System Design
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OpenAI Model Spec
model-spec.openai.com·1h·
Discuss: Hacker News
🛡️AI Security
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·2d·
Discuss: DEV
📱Edge AI
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OVHcloud: Quantum random number generation SSL certificates for all customers
blog.ovhcloud.com·2d·
Discuss: Hacker News
🔒Digital Privacy
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
jstrieb.github.io·23h·
🔓Binary Exploitation
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“Mirror, Mirror on The Screen, Who Is The Fairest of Them All?”
brookings.edu·1h·
Discuss: DEV
🎨Design Systems
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The Constrained Application Protocol (CoAP)
datatracker.ietf.org·2d·
Discuss: Hacker News
📋Protocol Design
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Building PRRover: A FastAPI GitHub PR Reviewer with Telex A2A Integration
dev.to·2d·
Discuss: DEV
FastAPI
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Trust in the Machine: Building Reputable Service Networks for AI Agents
dev.to·2d·
Discuss: DEV
🛡️AI Security
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LLM-enhanced Air Quality Monitoring Interface via Model Context Protocol
arxiv.org·4h
🎨Design Systems
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High-Throughput HPLC Method Optimization via Bayesian Neural Network & Predictive Maintenance
dev.to·1d·
Discuss: DEV
🧠Machine Learning
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Adaptive Frequency-Hopping Protocol Optimization for Resilient Early Warning Communication Networks
dev.to·21h·
Discuss: DEV
🕸️Mesh Networks
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Auditing M-LLMs for Privacy Risks: A Synthetic Benchmark and Evaluation Framework
arxiv.org·4h
🔢Homomorphic Encryption
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CORS and Same-Origin Policy Deep Dive
dev.to·1d·
Discuss: DEV
🔌APIs
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Unlocking Simplicity: Skeletonizing Boolean Networks for Enhanced Performance by Arvind Sundararajan
dev.to·8h·
Discuss: DEV
⏭️Skip Lists
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Show HN: Polyglot standard library HTTP client C/C++/Rust/Python and benchmarks
github.com·2d·
🛡️Error Handling
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Automated Anomaly Detection and Predictive Maintenance in Self-Propelled Brush Rollers Using Bayesian Network Fusion
dev.to·1d·
Discuss: DEV
🧠Machine Learning
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