In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

In 2026 (and beyond) the best benchmark for large language models won’t be MMLU or AgentBench or GAIA. It will be trust—something AI will have to rebuild before it can be broadly useful and valuable ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Work smarter with AI in 2026 using field-specific prompting, reverse prompts, and self-evaluation loops for faster, clearer results.

Rai shares his insights on how the AI business is changing, and how the focus is now shifting from developing more and more ...

Get ready for 2026 with these essential AI skills for prompting, boosting output quality and cutting time at work.

For enterprises racing to integrate AI, one barrier keeps resurfacing no matter how quickly the technology advances: hallucinations. A recent Bain & Company report found that output quality remains a ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...