0
Tips for Setting Expectations in AI Projects(towardsdatascience.com)
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Data Mesh Diaries: Realities from Early Adopters(towardsdatascience.com)
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How to Use LLMs for Powerful Automatic Evaluations(towardsdatascience.com)
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What Does “Following Best Practices” Mean in the Age of AI?(towardsdatascience.com)
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LangGraph 101: Let’s Build A Deep Research Agent(towardsdatascience.com)
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Windsurf Wave 12: Devin features in Windsurf(windsurf.com)
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The future of your industry starts here(scale.com)
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Elo ratings beyond arena-style evaluations(cohere.com)
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0
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Introducing Gemma 3 270M: The compact model for hyper-efficient AI(deepmind.google)
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Why LLMs Can't Really Build Software(zed.dev)
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Pretraining Data Filtering for Open-Weight AI Safety(blog.eleuther.ai)
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LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions(towardsdatascience.com)
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Introducing Google’s LangExtract tool(towardsdatascience.com)
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Estimating from No Data: Deriving a Continuous Score from Categories(towardsdatascience.com)
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Fine-Tune Your Topic Modeling Workflow with BERTopic(towardsdatascience.com)
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A Refined Training Recipe for Fine-Grained Visual Classification(towardsdatascience.com)
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Coconut: A Framework for Latent Reasoning in LLMs(towardsdatascience.com)