procedure
The evaluation framework for SLM candidacy and adoption consists of five steps: (1) Audit AI workloads by mapping LLM API calls by task type, volume, and complexity; (2) Identify SLM candidates for tasks like classification, extraction, routing, summarization, and Q&A over documents; (3) Benchmark candidate SLMs against actual inputs rather than public benchmarks; (4) Calculate the business case based on cost per request, latency improvement, and efficacy delta; (5) Start with a pilot use case, measure results, and scale horizontally.
Authors
Sources
- Knowledge Graphs Enhance LLMs for Contextual Intelligence www.linkedin.com via serper
Referenced by nodes (1)
- small language models concept