👉 This page lists every guide about the Gnoll Overseer, from your first chat to the technical background of the service.
🐺 Using the Gnoll Overseer
- Introduction to Gnoll Overseer — Learn about what Gnoll Overseer is
- Choosing AI Model for Gnoll Overseer — How to choose the right AI model when using Gnoll Overseer
- Chat Confidentiality Modes in Gnoll Overseer — Standard, Confidential, and Incognito chats, and what each one protects
- Advanced Guide to Gnoll Overseer — An in-depth guide to Gnoll Overseer
🏗️ Technical Background
- Technological Overview of Gnoll Overseer — The architecture, frameworks, and tools behind the Overseer service
📊 AI Benchmarking
Before an AI model is offered in the Gnoll Overseer, the developers test it with a fixed set of GnollHack questions. The same tests are used to find and fix weaknesses in the Overseer itself. This testing system is called GnollBench. The three guides below cover the same topic at three levels of depth, so pick the one that suits you:
- /Guides/Introduction to AI Benchmarking in Gnoll Overseer — For newcomers: what AI benchmarking is and why it is done, in plain language
- /Guides/Advanced Guide to AI Benchmarking in Gnoll Overseer — For interested readers: how scoring, grading, and repeated runs work
- /Guides/Technological Overview of AI Benchmarking in Gnoll Overseer — For readers who know AI evaluation: formulas, statistics, and comparability rules
A fourth article puts GnollBench in context:
- Comparison of GnollBench and Popular AI Benchmarks — How GnollBench compares with popular public AI benchmarks, and how they complement each other
🔗 See Also
- Overseer AI Providers — The AI providers that the Overseer connects to
- AI Usage Policy — How generative AI is used in the development of GnollHack
- Gnoll Overseer Privacy Policy — The privacy policy of the Overseer