Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·2h·
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Pain Points of OCaml
quamserena.com·14h·
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🔄Compilers
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Good abstractions for humans turn out to be good abstractions for LLMs
betweentheprompts.com·1d·
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Think for Yourself
kevlinhenney.medium.com·11m·
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📊Economics
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I Use AI
ben.stolovitz.com·5h·
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Global weather data from flying airplanes
clickhouse.com·1d·
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OpenSource: Get answer DURING meetings. No more 'let me get back to you'
tellmemo.io·8h·
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⚙️OS
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Absurd Workflows: Durable Execution With Just Postgres
lucumr.pocoo.org·1d·
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My Experience as a SDE Intern at AWS
simho.xyz·13h·
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🌐Computer Networking
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Celtic Code: Drawing Knots with Python
2earth.github.io·1d·
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📐PLT
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Linkers: A 20 Part Series
airs.com·20h·
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Cure - Verification-First Programming for the BEAM
cure-lang.org·1d·
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Show HN: Claude Code disrupted programming. Bringing that power to office worker
blog.gbase.ai·1d·
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Linux/WASM
joelseverin.github.io·2d·
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Voxel Grid Visibility
cod.ifies.com·3h·
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How to get a character from a codepoint in Spark SQL
prequel.co·4h·
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Writing an Asciidoc Parser in Rust: Asciidocr
bikesbooksandbullshit.com·2d·
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Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
gilesthomas.com·1d·
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Product Designer's workflow for prototyping with Cursor
hvpandya.com·2d·
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Speeding up JavaScript test time 1000x
kevin.burke.dev·1d·
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🐧Linux
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