Training and inference are separate activities with very different economics. Training happens once, takes enormous computing resources, and produces a model. Inference happens every single time someone uses that model, takes a fraction of the resources per request, and is where practically all the ongoing cost of running an AI product lives. A business using AI is almost always paying for inference, not training.
Inference is also where latency shows up. The time between a visitor typing a question and seeing an answer is inference time plus whatever else has to happen first, such as searching your content for the relevant passages. Long delays cost you conversations, because a website visitor who waits too long will simply close the tab.
For a chat widget, this is the whole user experience. A visitor on your site at ten at night asks whether you cover their area, and inference is what turns that question into an answer drawn from your own pages. Clerkzo handles that on every message, then captures the booking request or lead details and delivers them to your team by email, webhook or Telegram.
Related terms
Browse all 142 terms- Transformer ModelA transformer model is a type of neural network architecture that processes text by weighing how much every part of the input relates to every other part. It is the design underpinning virtually all modern large language models.
- Natural Language ProcessingNatural language processing, usually shortened to NLP, is the field of computer science concerned with getting software to understand, interpret and produce human language in text or written form.
- Machine LearningMachine learning is an approach to building software where a system learns patterns from examples rather than following rules a developer wrote by hand. The resulting model makes predictions on data it has not seen before.
- Training DataTraining data is the collection of examples an AI model learns from during training. Its content, quality and coverage shape what the resulting model knows and how it behaves.