GLOSSARY
LLM / large language model
An LLM is a language model trained on large amounts of data to process and generate text; convincing answers guarantee neither correctness nor reliable task execution.
Broad language capability needs a bounded task
An LLM can summarise customer statements, organise objections or draft possible responses. It processes language patterns and the information provided for the task. This does not establish reliable knowledge of a particular customer’s actual decision process. A convincing suggestion can omit important conditions or present a plausible assumption as a fact. The assignment should therefore specify which information applies, what output is needed and where questions may remain open. A longer answer is not automatically a more thorough analysis.
Assess the model within its workflow
Available context and the surrounding execution framework influence whether language capability becomes a useful process. Compare models using the same realistic tasks and equivalent information. Examine factual errors, preserved qualifications, required corrections and time to a usable outcome. An LLM by itself does not establish secure integration, dependable storage or autonomous completion of work. Those properties belong to the full application and need their own evidence. Economic value arises where the combination of model, information and human judgment demonstrably improves the actual sales activity.