Blog

A complete guide to creating high-quality instruction-tuning data for fine-tuning Large Language Models (LLMs) and Vision Language Models (VLMs).

The best LLM fine-tuning platforms and tools, from training and deployment to inspecting custom language models.

From loss curves to GGUF exports – mastering your vision language model evaluation workflow with built-in metrics.

Fine-tune your vision-language model with image understanding, run it on your own hardware, and cut your per-inference token costs.

Ximilar’s card recognition AI now identifies Korean and Thai Pokémon trading cards, returning native-language card data alongside the standard identification fields. Let’s see it in action!

Clarifai shuts down July 17, 2026. See which services Ximilar replaces, where it goes further, and how to migrate fast.

Ximilar’s no-code VLM platform lets you fine-tune small, private AI models and deploy them on any device – no ML expertise required.

Discover the redesigned Ximilar App – a clearer, faster way to train models, manage credits, and explore visual AI solutions.

With millions of cards and variations, even the best databases miss some. We refined our sports cards recognition to identify cards even when no match exists.