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…
Read articlePractical opinion and expert analysis of AI features, prompts, agents, GitHub and cloud workflows.
An expert analysis of the evolving open-source large language model ecosystem, examining practical implications for developers and businesses, and identifying key areas…
Read articleThis column analyzes the evolution of AI agents from basic task executors to more sophisticated systems capable of complex reasoning and autonomous…
Read articleIn an era of rapid AI advancements, discerning credible information from the deluge of claims requires robust critical appraisal skills. This column…
Read articleNavigating the flood of AI announcements requires a rigorous approach to source evaluation and critical analysis. This column outlines a framework for…
Read articleThis column explores the emerging field of agentic AI, moving beyond basic task execution to systems that can reason, plan, and act…
Read articleFine-tuning AI models offers significant advantages for specialized tasks, but the real costs extend far beyond GPU cycles. This column analyzes the…
Read articleThis column explores how technical readers can critically evaluate AI news, product claims, and research, moving beyond hype to assess source credibility,…
Read articleAn analysis of how larger context windows in LLMs introduce hidden costs and performance trade-offs beyond mere token count, impacting inference, RAG,…
Read articleA practical column framework for deciding whether an AI release deserves a workflow change, a pilot or a polite shrug.
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