When industry knowledge meets PIKE-RAG: The innovation behind Signify’s customer service boost
microsoft.com·2h
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I Processed the Internet on a Single Machine to Find Valuable Expired Domains
blog.mbrt.dev·2d·
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Quantitative Metaphors for Sizes in Biology
press.asimov.com·1d·
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Skills for the Future
bastian.rieck.me·1d·
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Open Source Context-Aware PII Classifier
corp.roblox.com·1d·
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Show HN: Arcitext, an AI assisted writing app to battle AI generated text
arcitext.com·18h·
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Introducing Agent-o-rama: build, trace, evaluate, and monitor stateful LLM agents in Java or Clojure
blog.redplanetlabs.com·2d·
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Handbook of Satisfiability (2021)
iospress.com·4d·
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The Drift Principle: why systems get worse even when they're "working"
news.ycombinator.com·1d·
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AI may fatally wound web’s ad model, warns Tim Berners-Lee
ft.com·1d·
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The Constrained Application Protocol (CoAP)
datatracker.ietf.org·2d·
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Composing the Idea: Why "Next Word Prediction" Misses the Point
medium.com·2d·
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Prentice Hall Interview with Rich Stevens, Author of Unix Programming (1997)
kohala.com·5h·
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The Psychology Behind Standing Up and Saying No
scientificamerican.com·1d·
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A Deep Dive into the Morris Worm
rapid7.com·9h·
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Mathematical exploration and discovery at scale
terrytao.wordpress.com·11h·
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Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
gilesthomas.com·2d·
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Hybrid-Attention models are the future for SLMs
inference.net·2d·
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The Evolution from RAG to Agentic RAG to Agent Memory
leoniemonigatti.com·2d·
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Embedding TypeScript
andrews.substack.com·4h·
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