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教程I Built a Tool-Calling Agent in Python. Here’s How I Debugged It(towardsdatascience.com)
18天前原文·0 评论·
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教程How a Frontier Model Gets Built, Read from the Kimi K3 Report(towardsdatascience.com)
19天前原文·0 评论·
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教程Build an AI code review bot in 30 minutes with Vercel Eve(lennysnewsletter.com)
20天前原文·0 评论·
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教程The student “AI revolt” is mostly a myth. Business students just want to be taught how to use it.(thenextweb.com)
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reddit.com
教程How to create a platform agnostic repository of skills/workflows?(reddit.com)
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教程How to Get More Statistical Power from Fewer Research Participants(towardsdatascience.com)
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教程Are Home Teams Favoured by Referees in Football/Soccer?(towardsdatascience.com)
20天前原文·0 评论·
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教程What if you’re not supposed to have a long-term plan?(lennysnewsletter.com)
21天前原文·0 评论·
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教程Using Agents as Tools(towardsdatascience.com)
21天前原文·0 评论·
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教程Prompt, Context, Loop: The Three Engineering Layers Every RAG System Is Built On(towardsdatascience.com)
21天前原文·0 评论·
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教程🎙️ How I AI: ChatGPT Codex Voice + browser + Sites: an expert’s AI workflow | Nick Baumann (OpenAI)(lennysnewsletter.com)
21天前原文·0 评论·
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教程How to Build CLI Agents with Python & Ollama(towardsdatascience.com)
21天前原文·0 评论·
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教程The AI Was the Easy Part: What Is a Forward-Deployed Engineer in a Supply Chain?(towardsdatascience.com)
21天前原文·0 评论·
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教程ChatGPT Codex Voice + browser + Sites: an expert’s AI workflow | Nick Baumann (OpenAI)(lennysnewsletter.com)
22天前原文·0 评论·
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教程How Claude Help Me Build My $200k+ ML Resume(towardsdatascience.com)
22天前原文·0 评论·
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e27.co
教程The most valuable employee in 2030 won’t be the smartest—it’ll be the one who knows how to work with AI(e27.co)
22天前原文·0 评论·
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教程How to Apply Coding Agents to Non-Programming Tasks(towardsdatascience.com)
22天前原文·0 评论·
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教程I Replaced a 15-Minute Booking Process with a LangGraph AI Agent(towardsdatascience.com)
23天前原文·0 评论·
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教程Put the Agent Inside the Workflow(towardsdatascience.com)
24天前原文·0 评论·
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教程The 3× Token Bill We Didn’t See Coming(towardsdatascience.com)
24天前原文·0 评论·
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教程How to Debug AI Coding Agents When They Change the Wrong Thing(towardsdatascience.com)
24天前原文·0 评论·
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教程How Benders Decomposition Works Part I: Optimality Cuts(towardsdatascience.com)
25天前原文·0 评论·
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e27.co
教程How to use AI to become a better investor(e27.co)
25天前原文·0 评论·
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教程The Python Ecosystem That Changed AI Development(towardsdatascience.com)
25天前原文·0 评论·
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教程How to Organize All of Your Coding Agent Tasks(towardsdatascience.com)
25天前原文·0 评论·
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教程How to Build a Context Layer and a Company Brain(towardsdatascience.com)
25天前原文·0 评论·
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教程How to Decode the Temperature Parameter in LLMs(towardsdatascience.com)
26天前原文·0 评论·
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教程Prompt Engineering Is Solved—Prompt Management Isn’t(towardsdatascience.com)
26天前原文·0 评论·
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教程Los Movimientos, Part II: Solving Large Pickup-and-Delivery Problems with Adaptive Large Neighborhood Search(towardsdatascience.com)
26天前原文·0 评论·
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教程Avoiding Entity Key Drift in a Data Lake: Step 1, Normalization(towardsdatascience.com)
27天前原文·0 评论·
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