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 Duration 7 hours

Course Outline

From Text Generation to Typed Decisions

  • What a decision model returns
  • System one decisions versus reasoning LLMs
  • Cost and latency profile of bounded decisions

The Open-Weight Decision Model Landscape

  • Strands Decider 2B from AWS Labs
  • JEV and GEV open-weight families
  • Pplx-Decider, Liquid D1 and Clef
  • Licence and deployment differences

Inside a Decision Model

  • LLM torso without a language modelling head
  • Pointer head scoring over candidate options
  • Where the confidence score comes from

Running Your First Decisions

  • Local setup on CPU and consumer GPU
  • Phrasing questions and option sets
  • Asking several questions in one pass
  • Thresholds and fallback behaviour

Judging Decision Quality

  • JevBench and decision benchmarks
  • Accuracy versus calibration
  • Brier score and reliability of confidence
  • Tasks where a decision model is the wrong tool

Requirements

  • Basic familiarity with large language models and prompt-based applications.
  • Comfort with the command line and Python scripts.
  • No machine learning training experience required.

Audience

  • AI engineers evaluating decision models for agent workflows
  • Software developers replacing LLM calls with bounded decisions
  • Solution and platform architects designing agent architectures
  • Technical product managers assessing decision model options

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 1600 € + VAT*

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