An AI model is a trained system that processes information and produces outputs. An app may use a model as one component, alongside search, saved settings, account controls, and other software. The model and the complete product are not the same thing.
For everyday use, the practical question is whether the whole tool serves your task well. A capable model inside a confusing or unreliable app may not help you much. Compare results, ease of use, privacy choices, and cost rather than choosing only by a model name.
Further reading
- What Is Artificial Intelligence (AI)?
IBM · 2024
Context and limits
An overview of AI, machine learning and generative AI.
An educational overview from a technology vendor, not independent evidence of product performance. We use it for introductory definitions.
Sources explain the background. Examples and suggested next steps are TideProof's own guidance.
- Introduction to Large Language Models
Google for Developers · Publication date not established
Context and limits
Optional technical background on how language models use context and predict tokens.
Technical reading rather than a practical first step. An application's tools, access to information and behavior can differ from the general model explanation.
Sources explain the background. Examples and suggested next steps are TideProof's own guidance.