An AI model is the part of an AI system that has learned patterns from data and can use those patterns to generate, classify, extract or interpret information.
Different models are built with different sizes, capabilities, costs and strengths.
Designed to handle a broad range of language and reasoning tasks.
Designed or tuned for narrower types of work.
Models that can often be downloaded and operated in environments you control.
The best model is the one that performs the job reliably at an acceptable cost and level of privacy.
May not need a huge model.
May benefit from a more capable model.
Speed and cost can matter as much as raw intelligence.
Sometimes the answer is AI. Sometimes it is automation. Sometimes two existing systems simply need to communicate properly. And whenever business information is involved, privacy and data ownership should be part of the decision.
ChatGPT is a product that uses AI models. The application and the underlying model are related but not identical.
Yes. Modern AI systems can often use different models for different tasks.
Some can.
Usually not in depth. Businesses mainly need to understand capability, privacy, reliability and cost for the task involved.
Tell us what is repetitive, slow or frustrating. The first job is understanding the problem. AI, automation and infrastructure come afterwards.
Tell us what's wasting your time