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教程Insight Is Still the Currency of Data Science(towardsdatascience.com)
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教程How to Solve Issues When You Nest Measures While Overwriting the Same Filter(towardsdatascience.com)
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教程Jev: 8 real use cases for the fastest, cheapest model I’ve ever used | John Lindquist(lennysnewsletter.com)
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教程Towards Spec-Driven Test Automation: Part 2(towardsdatascience.com)
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教程AI Made Data Scientists Faster. Now It’s Expanding the Job.(towardsdatascience.com)
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教程When All You Have Are Decoders, Every Decision Looks Like Generation(towardsdatascience.com)
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教程All of the Lenny & Friends Summit talks are now online!(lennysnewsletter.com)
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教程Language Models for Text Classification: From Bag-of-Words to Jev(magazine.sebastianraschka.com)
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教程Jev for beginners: how to use it and what to build(lennysnewsletter.com)
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教程GraphRAG with TypeSafe Jev: A System One Approach to Scalable Knowledge Graphs(towardsdatascience.com)
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教程The grief, loneliness, and burnout sweeping through the tech industry right now | Molly Graham(lennysnewsletter.com)
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教程🧠 Community Wisdom: AI doomerism, speeding up discovery in a big org, verifying engineering answers as a new PM, where analytics adds the most value, and more(lennysnewsletter.com)
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教程Your LLM Has a Curved Space of Paragraphs(towardsdatascience.com)
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教程10 Things I’m Learning Beyond AI to Become More Technologically Fluent(towardsdatascience.com)
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教程Sponsored: How to scale data centers cheaper, faster, and at a higher quality(datacenterdynamics.com)
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教程Your Model's MSE Is Lying to You: Part II(towardsdatascience.com)
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教程Jev vs. LLMs: When AI Moves from Generation to Decision-Making(towardsdatascience.com)
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教程How to Maximize Your Coding Agent Subscriptions(towardsdatascience.com)
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教程Towards Spec-Driven Test Automation: Part 1(towardsdatascience.com)
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教程I Trained a Tiny Network to Compress Data. It Drew a Pentagon.(towardsdatascience.com)
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教程How GRPO Trains Small Language Models with Verifiable Rewards(towardsdatascience.com)
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教程How to Make Your First World Model from Scratch(towardsdatascience.com)
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教程Break Your Own RAG Pipeline Before Users Do(towardsdatascience.com)
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教程How to Evaluate AI Agents From Tool Calls to Task Completion(developer.nvidia.com)
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教程One Vendor, Four Spellings: How Deterministic Stages Beat Similarity Scores(towardsdatascience.com)
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教程AI Made Me 5x Faster. It Also Made Me 5x Worse at My Job.(towardsdatascience.com)
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教程Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them(towardsdatascience.com)
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教程We Pinned Our Model Version to Stay Safe. The Provider Deprecated It Anyway.(towardsdatascience.com)
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教程Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer(towardsdatascience.com)
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simonwillison.net
教程How To Write With An LLM(simonwillison.net)
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