Model and Inference / TOKEN WIKI
The capabilities of the
LLM/Large Language Model The
In one sentence
large language model learns patterns in language through large-scale training and is used for tasks such as generating, understanding, and transforming text.
Why it matters
model need to be verified in specific businesses, and the parameter scale cannot alone represent the effect or cost performance.
Practical considerations
establishes a representative test set and compares correctness, style, response speed and task cost for comprehensive selection.
FAQ
Is a model with more parameters necessarily better?
Not necessarily, training methods, data, tasks and engineering implementation will all affect the effect.
