As AI becomes the public face of business, organizations must validate performance, security, and cost efficiency at scale.

A small tweak in an AI prompt can quietly break a system and cost money. Learn how keeping track, testing, and monitoring prompts can prevent such mistakes.

OpenRouter makes it easier to test new LLMs without juggling subscriptions, accounts, and recurring charges.

Researchers' MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining it and see a 26% ...

Anthropic PBC today introduced Claude Mythos 5 and Claude Fable 5, two large language models that it says outperform the ...

Looking across dozens of Large Language Models (LLM) models on the market, knowing which one to use for any given task is half the battle. ChatPlayground AI solves that by putting 20-plus top AI ...

A new Estonian study finds many AI systems can still be steered by propaganda-style prompts, with results varying widely by ...

Fieldcode, a provider of field service management software, has added AI LLM actions that allow large language model prompts to run directly inside configured service workflows.

Why workflow optimization matters more than massive hardware specs.

GitHub Copilot security scanning arrives in the terminal with /security-review, an experimental pre-commit slash command that ...