NDC Conferences: "Would YOU Survive the Titanic?", with ML and .NET - Simon Painter - NDC Copenhagen 2025
youtube.com·2h·
Discuss: DEV
🔍ML Language
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Pain Points of OCaml
quamserena.com·17h·
🐪OCaml
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Fluent Visitors: revisiting a classic design pattern
neilmadden.blog·1h
🔗Lexical Scoping
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Benchmarking the cost of Java's EnumSet - A Second Look
kinnen.de·3h·
Discuss: r/programming
Interpreter Optimization
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Fine-Tuning an AI – Part I
zwischenzugs.com·6h
🌙Lua
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RedCodeAgent: Automatic red-teaming agent against diverse code agents
microsoft.com·6h
🛡️Parser Security
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How to increase accuracy of handwritten text extraction using Sonnet?
reddit.com·9h·
Discuss: r/ClaudeAI
Tokenizer Benchmarks
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Is zig the programming language for me?
reddit.com·17h·
Discuss: r/Zig
Zig
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Building a Production-Ready AI Agent
api.github.com·1d·
Discuss: DEV
🎭Program Synthesis
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[Research] Cross-Stage Vulnerabilities in Large Language Model Architectures
reddit.com·8h·
Discuss: r/LocalLLaMA
🎲Parser Fuzzing
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Latent Domain Prompt Learning for Vision-Language Models
arxiv.org·18h
🎨Domain-Specific Languages
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Algorithmic Alchemy: Transmuting Dynamic Programming with Gradients by Arvind Sundararajan
dev.to·6h·
Discuss: DEV
🧩Constraint Solvers
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Learn to Capitalize the First Letter of Each Word with Go
dev.to·23h·
Discuss: DEV
🔤String Algorithms
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Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
arxiv.org·18h
🪜Recursive Descent
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[TUI] Ricing the original Rogue
github.com·3h·
🏷️Symbol Mangling
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“From Code to Content: Why I Tested ChatGPT vs Grammarly for My Blog”
dev.to·12h·
Discuss: DEV
💬Interactive REPLs
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Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders
arxiv.org·18h
🌱Minimal ML
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NOMAD - Navigating Optimal Model Application to Datastreams
arxiv.org·18h
🗺️Region Inference
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Top 10 AI Features for Modern WYSIWYG Editors
dev.to·14m·
Discuss: DEV
🎮Language Ergonomics
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