Content by naomi moneypenny (7)

Naomi Moneypenny announces GPT-6 Sol and GPT-6 Luna as generally available in Microsoft Foundry alongside GPT-6 Astra, and explains how to pick models and deployment options for production AI agents. The post covers evaluation and monitoring in Foundry, regional and data-zone availability, pricing by token type, and safety controls like guardrails and prompt-injection mitigation.

Naomi Moneypenny lays out a practical model lifecycle for Microsoft Foundry: how to pick models by workload fit, validate them with your own evals and datasets, control latency and cost, and operate safely in production with monitoring, governance, and rollback.

Naomi Moneypenny announces GPT-5.5 general availability in Microsoft Foundry and explains what’s new (agentic coding, long-context reasoning, token efficiency) plus how Foundry Agent Service helps run hosted agents with isolation, Entra identity, and governance for production use.

Naomi Moneypenny introduces GPT-5.4 and GPT-5.4 Pro in Microsoft Foundry, outlining their enhanced capabilities for enterprise AI production environments and providing guidance on deployment and pricing.

Naomi Moneypenny details how Mistral Document AI in Microsoft Foundry elevates enterprise document processing, focusing on advanced OCR capabilities, document structure extraction, and seamless integration options for developers and data teams.

Naomi Moneypenny introduces GPT-5.2 in Microsoft Foundry, outlining new capabilities in reasoning, agentic execution, and compliance for enterprise AI development on Azure. This piece details features important to developers and technical leaders.

Naomi Moneypenny presents the launch of Mistral Document AI on Azure AI Foundry, enabling organizations to deploy advanced document intelligence models serverlessly, with strong security, structured outputs, and deep Azure integration for enterprise automation.