Our summary
Razer AIKit provides a worked notebook for software that needs to choose an answer rather than write a reply. It runs Mapika’s Decider models on your own machine. The questions can ask for yes or no, a choice from a list, or a position on a rating scale.
The example starts Decider 2B and calls a local service that accepts these questions. Several can share one request. A message-routing example uses a confidence cutoff of 0.8: when the result is too uncertain, it sends the message to a person rather than choosing a route automatically.
This is a developer setup guide, not evidence that every choice will be accurate. The 2B example needs a graphics processor with at least 8 GB of memory, with additional room for working data. Razer supplies the integration; Mapika supplies the models, whose results still need testing on your tasks.
Key takeaways
- One local model can answer yes/no, menu-choice and rating questions without drafting a conversation.
- The notebook’s 0.8 confidence cutoff is an example, not a proven setting for every task.
- Running locally needs suitable hardware; it does not make model judgments automatically correct.