The Shifting Landscape of Open-Source LLMs: Beyond the Hype Cycle
An expert analysis of the evolving open-source large language model ecosystem, examining practical implications for developers and businesses, and identifying key areas…
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Practical opinion and expert analysis of AI features, prompts, agents, GitHub and cloud workflows.
The Shifting Landscape of AI Agents: Beyond Simple Task Execution
This column analyzes the evolution of AI agents from basic task executors to more sophisticated systems capable of complex reasoning and autonomous…
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The Signal in the Noise: Navigating AI Information with Critical Appraisal
In an era of rapid AI advancements, discerning credible information from the deluge of claims requires robust critical appraisal skills. This column…
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Beyond the Hype: Critically Appraising AI Claims for Real-World Impact
Navigating the flood of AI announcements requires a rigorous approach to source evaluation and critical analysis. This column outlines a framework for…
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The Rise of Agentic AI: Beyond Simple Automation
This column explores the emerging field of agentic AI, moving beyond basic task execution to systems that can reason, plan, and act…
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The Unseen Costs of AI Model Fine-Tuning: Beyond the GPU Bill
Fine-tuning AI models offers significant advantages for specialized tasks, but the real costs extend far beyond GPU cycles. This column analyzes the…
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Beyond the Headline: Critically Evaluating AI News and Product Claims
This column explores how technical readers can critically evaluate AI news, product claims, and research, moving beyond hype to assess source credibility,…
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The Unseen Costs of Context Windows in LLMs
An analysis of how larger context windows in LLMs introduce hidden costs and performance trade-offs beyond mere token count, impacting inference, RAG,…
Read articleThe useful way to judge a new AI feature
A practical column framework for deciding whether an AI release deserves a workflow change, a pilot or a polite shrug.
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