What Kind of Guides Does AIModels.fyi Publish?
Updated
AIModels.fyi publishes hands-on, model-specific tutorials and practical AI engineering guides rather than general news or opinion pieces. The Guides section focuses on showing readers how to use a particular model or technique to complete a concrete task—from converting audio into a waveform to swapping faces in images—alongside product-oriented pieces on turning models into usable applications. If you want step-by-step walkthroughs tied to specific AI models, this is the section to check; if you want research summaries, the Plain English Papers section is the better fit.
The main guide formats
Based on the published entries, the Guides section clusters into three recognizable types:
1. Model-specific how-to tutorials
These walk through using a named model for a defined output. Examples visible on the site include:
- Audio-To-Waveform — turning spoken audio or music into a waveform using a simple AI model.
- Faceswap — swapping faces seamlessly with the Faceswap model.
- JoJoGAN — one-shot face stylization.
- Stable Diffusion Img2Img — an introduction to image-to-image generation.
The pattern here is: pick one model, describe the task it solves, and show the reader how to get a result. These are the closest thing to copy-and-follow tutorials on the site.
2. Technique and method guides
These are less about a single model and more about a workflow or method you can apply across projects. Examples include:
- Hypothetical document embeddings (HyDE) for improving semantic search.
- AI-driven categorization — moving "from chaos to clarity."
- Step-by-step reasoning applied to vision AI.
These guides explain a mechanism and then show how to apply it, which makes them useful when you already have a pipeline and want to improve one stage of it.
3. Product-building guides
A smaller set focuses on the jump from model to shipped product:
- "From AI Models to AI Products: Turning Intelligence into Impact."
- "Build Your Own Epik-inspired App" — transforming selfies into '90s yearbook photos with Node.js and AI.
These are aimed at readers who already know which model they want and need help wrapping it into an application.
How to choose which guide to read
| Your goal | Guide type to look for | Example on the site |
|---|---|---|
| Use a specific model for the first time | Model-specific how-to | Audio-To-Waveform, Faceswap |
| Improve an existing search or categorization pipeline | Technique guide | Hypothetical document embeddings |
| Ship a model inside an app | Product-building guide | Epik-inspired yearbook app |
| Understand a paper, not build something | (Not a guide) | Plain English Papers section |
What the guides are not
Two boundaries are worth setting before you dive in:
- They are not research summaries. That content lives under Plain English Papers, which covers papers like Netflix's VOID video-editing work or SmolDocling. If you want to understand a paper's contribution, start there instead.
- They are not a model directory. The site's core function is searching, filtering, and sorting a database of AI models. Guides sit alongside that directory as applied walkthroughs, not as replacements for it.
Practical note on scope and freshness
The Guides list mixes recent entries (April 2026) with older ones (2023), so coverage is not uniformly current—check the date on a guide before assuming it reflects the latest model versions or library APIs. The site also signals a subscription option, so some content or features may sit behind an account; the public listing itself does not state which guides, if any, require it.
If your task is "learn to run model X end to end," start with the model-specific tutorials. If your task is "make my existing system better," the technique guides are the more direct route.