Parallelizable Feynman-Kac Models for Universal Probabilistic Programming
arxiv.org·1d
🧮Kolmogorov Bounds
Three Meanings of Effects
burakemir.ch·9h·
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Effect Handlers
Serverless AI Inference in Minutes: A Practical Guide to Replicate's API with Node.js
dev.to·5h·
Discuss: DEV
🧱Immutable Infrastructure
Six Frameworks for Efficient LLM Inferencing
thenewstack.io·13h
💻Local LLMs
Language Models Wrestle with Gaps in Understanding
cacm.acm.org·1d
💻Local LLMs
Building sub-100ms autocompletion for JetBrains IDEs
blog.sweep.dev·9h·
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🔨Compilers
Turning materials data into AI-powered lab assistants
phys.org·11h
🤖AI Curation
Generic functional parallel algorithms: scan and FFT (2017)
dl.acm.org·1d·
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🔗Functional Compilers
Automated Semantic Drift Detection and Mitigation in Real-Time Multimodal Data Streams
dev.to·1d·
Discuss: DEV
🌊Stream Processing
Evolutionary Test-Time Compute: trade time and token for creativity
alexdong.com·1d·
Discuss: Hacker News
🧮SMT Solvers
Why Do LLMs Design Mediocre Architecture?
recurse.ml·11h·
🌀Brotli Internals
Issue 490
haskellweekly.news·1d
🔗Functional Compilers
Ship Your AI Model to Production in Minutes with Replicate
dev.to·4h·
Discuss: DEV
🔄Sync Engine
The Unseen Variable: Why Your LLM Gives Different Answers (and How We Can Fix It)
hackernoon.com·3d
💻Local LLMs
Use AWS Deep Learning Containers with Amazon SageMaker AI managed MLflow
aws.amazon.com·1d
🔄Archival Workflows
GTA -- An ATSP Method: Shifting the Bottleneck from Algorithm to RAM
arxiv.org·1d
🚀SIMD Text Processing
Building a Debugger • Sy Brand & Tim Misiak
youtube.com·11h
⚙️Build Archaeology
Robotic assembly lines gain flexibility as algorithm plans tasks, teams and floor layouts
techxplore.com·1d·
Discuss: Hacker News
⚙️Modern Assembly
Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization
arxiv.org·22h
📏Code Metrics