Work Data Is the Next Frontier for GenAI
, the work output of knowledge workers, is the single most valuable data source for LLM training, uniquely capable of ...
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How to Fine-Tune Small Language Models to Think with Reinforcement Learning
in fashion. DeepSeek-R1, Gemini-2.5-Pro, OpenAI’s O-series models, Anthropic’s Claude, Magistral, and Qwen3 — there is a new one every month. ...
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Run Your Python Code up to 80x Faster Using the Cython Library
excellent language for rapid prototyping and code development, but one thing I often hear people say about using it is ...
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GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations
the world of financial services, Know-Your-Customer (KYC) and Anti-Money Laundering (AML) are critical defense lines against illicit activities. KYC is ...
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Explainable Anomaly Detection with RuleFit: An Intuitive Guide
your anomaly detection results to your stakeholders, the immediate next question is always “why?”. In practice, simply flagging an anomaly ...
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Taking ResNet to the Next Level
If you read the title of this article, you might probably think that ResNeXt is directly derived from ResNet. Well, ...
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Prescriptive Modeling Makes Causal Bets – Whether You Know it or Not!
modeling is the pinnacle of analytics value. It doesn’t focus on what happened, or even what will happen – it ...
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AI Agent with Multi-Session Memory
Intro In Computer Science, just like in human cognition, there are different levels of memory: Primary Memory (like RAM) is ...
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Data Science: From School to Work, Part V
Make it work, then make it beautiful, then if you really, really have to, make it fast. 90 percent of ...
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A Developer’s Guide to Building Scalable AI: Workflows vs Agents
I had just started experimenting with CrewAI and LangGraph, and it felt like I’d unlocked a whole new dimension of ...
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