Tips for Setting Expectations in AI Projects
AI project to succeed, mastering expectation management comes first. When working with AI projets, uncertainty isn’t just a side effect, ...
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Data Mesh Diaries: Realities from Early Adopters
weaving its way into the spotlight over the past few years, as organizations try to find alternatives to centralized data ...
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What Does “Following Best Practices” Mean in the Age of AI?
Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, ...
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LangGraph 101: Let’s Build A Deep Research Agent
that actually work in practice is not an easy task. You need to consider how to orchestrate the multi-step workflow, ...
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“My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“
In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science ...
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How to Use LLMs for Powerful Automatic Evaluations
discuss how you can perform automatic evaluations using LLM as a judge. LLMs are widely used today for a variety ...
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Reducing Time to Value for Data Science Projects: Part 4
series in reducing the time to value of your projects (see part 1, part 2 and part 3) takes a ...
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Coconut: A Framework for Latent Reasoning in LLMs
Paper link: https://arxiv.org/abs/2412.06769 Released: 9th of December 2024 Figure 1. The two reasoning modes of Coconut. In Language Mode (left), ...
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Estimating from No Data: Deriving a Continuous Score from Categories
has collected data on the outcomes of patients who have acquired “Pathogen A” responsible for an infectious respiratory illness. Available ...
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Agentic AI: On Evaluations | Towards Data Science
mostly a It’s not the most exciting topic, but more and more companies are paying attention. So it’s worth digging ...
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