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5 Prompt Optimization Strategies That Actually Improve LLM Output
This article covers five prompt optimization strategies such as: prompt optimization, prompt engineering, LLM output quality, few-shot prompting, chain-of-thought, structured outputs.
What’s So Good About ChatGPT Work? Here’s What I Found
This article walks through how ChatGPT Work specifically earns its reputation, where the underlying models genuinely hold up against the competition, and where the honest limits are.
23 分钟 · KDnuggets
5 Free Zoomcamps From Data Pipelines to AI Agents
Explore five free hands-on workshops covering data engineering, machine learning, MLOps, LLMs, AI agents, and AI development through practical lessons, homework, projects, and community-based learning.
14 分钟 · KDnuggetsLATEST STORIES
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Estimators in Scikit-LLM: A KDnuggets Cheat Sheet精选导读
Scikit-LLM wraps language models in the scikit-learn estimator API, so it drops into a Pipeline or a cross-validation loop natively.
Data Engineering Weekly #287精选导读
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Building an Operational Ontology: An E-Commerce Walkthrough精选导读
The write side of the ontology conversation: named actions, business rules, and write-back to the systems of record — a pattern already running at enterprise scale.
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