Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
💬Prompt Engineering
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.com·16h
💬Prompt Engineering
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The Learning Loop and LLMs
💬Prompt Engineering
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EDL - a JIT-compiled scripting language for certain performance critical workloads with high compatibility with Rust; written in Rust
🦀Rust Macros
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From Zero to AI Agent: How I Built Codexa in 24 Hours with Mastra and Telex.im
💬Prompt Engineering
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
🔓Binary Exploitation
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[Tool] RE-Architect: Automated binary analysis with multiple decompilers + AI explanations
🔍Reverse Engineering
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Readable Code Is Unreadable
🏭Code Generation
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Playing Around with ARM Assembly
🦀Rust Macros
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Disciplined Biconvex Programming
arxiv.org·1d
📊Dynamic Programming
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I Built a "Jumpstart" System for Claude Code - 3-Minute Setup, Production Agents, Honest Cost Analysis
🏗️Cranelift
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·1d
📊Profile-Guided Optimization
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