Clik
producthunt.com·2d
🌳Persistent Parsers
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The State Machine Professor
niklaselmqvist.medium.com·2h·
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🎯Finite Automata
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Models, Agents and Prompt Injections – Some Experiments
veganmosfet.github.io·1d·
Discuss: Hacker News
🌐Network Protocols
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Builder Design Pattern and Cyclomatic Complexity Reduction
johnjr.dev·3d·
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🔀Control Structures
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DSP Study Group - Reading audio data from WAV-files
clojurecivitas.github.io·18h
📋JSON Parsing
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Intelligent inference request routing for large language models
next.redhat.com·2d
🧠Semantic Parsing
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Reverse Engineering Yaesu FT-70D Firmware Encryption
landaire.net·11h·
Discuss: Hacker News
🔢Bit Manipulation
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How to Build a Custom MCP Server to Read Local Files with Claude Desktop: Challenges & Solutions
pub.towardsai.net·2d
🔗Language Toolchains
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Don’t Fight the Weights
dbreunig.com·2d·
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⚖️Weighted Automata
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ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning
dev.to·1d·
Discuss: DEV
🔄Incremental Tokenizers
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EncouRAGe: Evaluating RAG Local, Fast, and Reliable
arxiv.org·3d
⚖️Weighted Automata
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Attention and Compression is all you need for Controllably Efficient Language Models
arxiv.org·3d
🌱Minimal ML
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DI containers are dead, long live context containers!
dev.to·1d·
Discuss: DEV
🔧API Design
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How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions
arxiv.org·2d
🌱Minimal ML
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Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder
arxiv.org·2d
🪜Recursive Descent
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Improving VisNet for Object Recognition
arxiv.org·13h
🔍Lens Libraries
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🔥 LLM Interview Series(1): What Are Large Language Models and How Do They Work
dev.to·1d·
Discuss: DEV
🪜Recursive Descent
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