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

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 ...

Phil Bernstein and Vincent Guerrero present four areas where AI will develop fast in the architectural profession in 2026, ...

AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...

Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

Claude Sonnet 4.6 beats Opus in agentic tasks, adds 1 million context, and excels in finance and automation, all at one-fifth ...

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview extractor step by step.

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

Some believe that AI firms of generic AI ought to be forced into leaning into customized LLMs that do mental health support. Good idea or bad? An AI Insider analysis.