Prompt Optimization, LLM Programming, Declarative Prompting, Stanford Framework

TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·2d
🧩LLM Integration
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Best Digital Marketing Institute in Allahabad – Ndmit Prayagraj
ndmit.com·18h·
Discuss: Hacker News
🐍Python
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Our newest model: Chandra (OCR)
datalab.to·16h·
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🗂️Vector Databases
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Fungus: The Befunge CPU(2015)
bedroomlan.org·1d·
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Cache Optimization
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Mathematics solves problems by pen and paper. CS helps us to go far beyond that
cacm.acm.org·9h·
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📊Algorithms
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The Siren's Call of Async/Await: A Journey Beyond `try/catch`
dev.to·3h·
Discuss: DEV
🛡️Error Handling
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Why AI Needs Human Oversight for Architecture: A Real Refactoring Story
dev.to·14h·
Discuss: DEV
💬AI Code Assistants
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My first fifteen compilers (2019)
blog.sigplan.org·2d·
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🔎Static Analysis
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Can you save on LLM tokens using images instead of text?
pagewatch.ai·1d·
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💬Prompt Engineering
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Python Coding Challenges: FizzBuzz, String Equality, and Heterogram Checks for Beginners
dev.to·8h·
Discuss: DEV
🐍Python
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Smaller Surfaces
nrempel.com·1d·
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🔧Code Refactoring Patterns
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Writing an Asciidoc Parser in Rust: Asciidocr
bikesbooksandbullshit.com·22h·
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🛡️Error Handling
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Cycle-accurate 6502 emulator as coroutine in Rust
github.com·1d·
🔵Go
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Open Deep Research Internals: A Step-by-Step Architecture Guide
dev.to·15h·
Discuss: DEV
💬Prompt Engineering
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🧠 Soft Architecture (Part B): Emotional Timers and the Code of Care (Part 5 of the SaijinOS series)
dev.to·1d·
Discuss: DEV
🐌Slow Tech / Humane Computing
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pg_stat_plans: Track per-plan call counts, execution times and EXPLAIN texts
github.com·1h·
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🗄Database Optimization
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AI writes pretty good code these days and it doesn't really matter
dev.to·3h·
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💬AI Code Assistants
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MCP standard
dev.to·8h·
Discuss: DEV
🧩LLM Integration
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Uni-MMMU: A Massive Multi-discipline Multimodal Unified Benchmark
paperium.net·1h·
Discuss: DEV
🖼️Dual Coding
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