Traditional SEO markup (schema.org, JSON-LD, meta tags) was designed for search engine crawlers that index pages. AI agents operate differently -- they retrieve, synthesize, and reason across content.

Pharmacometrics has long provided a scientific foundation for quantitative decision-making in drug development and therapeutics. Yet, much of its ...

An analysis of LLM referral traffic shows low volume, rapid growth, shifting citations, and an 18% conversion rate.

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...

International Business Machines Corporation stock plunges; downgrade IBM to Hold as Anthropic's Claude Code threatens ...

IBM’s ( IBM) Software and Chief Commercial Officer, Rob Thomas, wrote in a Monday blog post that translating COBOL code isn’t equivalent to modernizing enterprise systems, emphasizing that platform ...

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

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Overview:Machine learning bootcamps focus on deployment workflows and project-based learning outcomes.IIT and global programs provide flexible formats for appli ...

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...