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OpenAPI won't make your APIs AI-ready. But Arazzo can
bump.sh·4h·
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My fan worked fine, so I gave it WiFi
ellis.codes·17h·
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I analyzed the lineups at the most popular nightclubs
dev.karltryggvason.com·5h·
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The Means of Prediction: How AI Works (and Who Benefits)
hks.harvard.edu·20h·
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How are UK students using AI?
yougov.co.uk·1d·
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🤖AI
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·2d·
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Building Real-Time ML Feature Pipelines with Streaming SQL
timeplus.com·1d·
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A Guide to My Organizational Workflow
cachestocaches.com·18h·
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Accumulating Context Changes the Beliefs of Language Models
lm-belief-change.github.io·11h·
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I Use AI
ben.stolovitz.com·2d·
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🤖AI
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.medium.com·1d·
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Why Workflows Fail: The Indeterministic Business Problem
blog.dragonscale.ai·1d·
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Who'll stop saying AI with me?
sdtimes.com·2h·
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🤖AI
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How LLMs Cheat: Modifying Tests and Overloading Operators
enbao.me·2d·
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🤖AI
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Thoughts by a non-economist on AI and economics
windowsontheory.org·2d·
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Approval Exhaustion of AI
medium.com·3h·
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Planning > Agents: Getting Reliable Code from LLMs
repoprompt.com·1d·
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Continuous Autoregressive Language Models
shaochenze.github.io·1d·
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Inline vs. Pipeline Ray Tracing
evolvebenchmark.com·2d·
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Parallel achieves 70% accuracy on SEAL, benchmark for hard web research
parallel.ai·1d·
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