Deep learning models simultaneously trained on multiple datasets improve base-editing activity prediction
nature.com·1d
🔧MLIR
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Java is an incredible language in that it got literally every single thing wrong.
bsky.app·2d·
Discuss: Bluesky
⚙️Programming
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A Guide to My Organizational Workflow
cachestocaches.com·2d·
Discuss: Hacker News
⚙️Programming
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r/mathematics
reddit.com·4d·
Discuss: r/mathematics
🧮Homomorphic Encryption
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Reflection
alexpolozov.com·1d·
Discuss: Hacker News
🛡️AI Safety
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·4d·
Discuss: DEV
🤖AI
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Teach Your AI to Think Like a Senior Engineer
kill-the-newsletter.com·22h
🤖AI
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from nothing to something
dev.to·1d·
Discuss: DEV
🔗Crypto
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Predictive Microbial Competition Modeling via Multi-Scale Agent-Based Simulations & Bayesian Optimization
dev.to·8h·
Discuss: DEV
🤖AI
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Turn Messy Meetings into Sharp Minutes with One Prompt
pub.towardsai.net·12h
📜Smart Contracts
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The Symphony of Speed: A Journey into Node.js JIT Compilation
dev.to·18h·
Discuss: DEV
🔧MLIR
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Context Engineering: The New Skill for Working with AI Agents
benr.build·3d·
Discuss: Hacker News
🤖AI
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7 Steps to Effectively Validate AI-Generated Code
dev.to·1d·
Discuss: DEV
🛡️AI Safety
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Algorithmic Complexity Reduction via Quantized State Space Search
dev.to·3d·
Discuss: DEV
🔧MLIR
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Truthful Engineering: How to Build Products People Actually Trust
dev.to·1d·
Discuss: DEV
🛡️AI Safety
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From Manual Testing to AI Agents: A 90-Day Transformation Roadmap
dev.to·15h·
Discuss: DEV
🤖AI
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