Part 6/12:
Licensing and cost: Is it open-source, commercially licensed, or cost-prohibitive?
Training data diversity: Does the model’s training set cover the necessary languages, domains, or proprietary datasets?
Latency and speed: Can the model deliver responses in acceptable timeframes for business needs?
2. Business Performance
This dimension directly assesses how well the LLM performs on real-world business questions, including:
Question relevance: Can the model accurately address industry-specific questions (e.g., pricing trends, procurement strategies)?
Task accuracy: How precise are the model’s responses in solving business problems?
Synthetic NLP metrics: The traditional benchmarks for language understanding, kept for comprehensive evaluation.