What it is
A resource for learning and utilizing Phi-3, a family of open AI models developed by Microsoft, which have been shown to outperform models of similar and larger sizes across various language, reasoning, coding, and math tasks.
Gabriel’s notes
a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
Good fit if you want to:
- build, test, or ship software faster (APIs, dev tooling, code assistance).
- learn a new skill, concept, or workflow with structured guidance.
Pricing snapshot (auto-enriched): No free tier mentioned; usage-based pricing per 1,000 tokens for Microsoft Phi models on Azure AI Foundry; pricing varies by model and context length with no explicit hidden limits stated.
Work-use / compliance snapshot (auto-enriched): The PhiCookBook is an open-source resource by Microsoft suitable for workplace use with compliance and security dependent on the deployment environment, leveraging Microsoft’s cloud services which adhere to standards like SOC2, HIPAA, and GDPR, though the repository itself does not provide explicit data handling, retention, or SSO details.
Alternatives (auto-enriched): Alternative: OpenAI GPT Models | Comparison: OpenAI GPT models offer a broader range of sizes and capabilities, with extensive community support, while Phi models focus on cost-effective small language models optimized for specific benchmarks.
Before you adopt it: check the README, license, recent commits, and open issues to gauge maintenance and fit.
Author: microsoft
Note: pricing and policy details can change—verify on the official site before making decisions.