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Run decision models on your own computer with Razer AIKit

Razer’s notebook shows how to run Mapika Decider locally, ask several closed questions and route uncertain results to human review.

Original by Razer AIIntegrations

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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

  1. One local model can answer yes/no, menu-choice and rating questions without drafting a conversation.
  2. The notebook’s 0.8 confidence cutoff is an example, not a proven setting for every task.
  3. Running locally needs suitable hardware; it does not make model judgments automatically correct.

The guide covers the checked Decision Models notebook, not the separate AutoTrust models or DOOM announcement. Its examples do not establish a general accuracy or speed guarantee.

Razer AIKit · Original published

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