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Video course · 5 chapters · 15 min · certificate

AI Reasoning Models: Chat vs Reasoning and Copilot Research Agents

Lisa Crosbie teaches how reasoning models act like a senior colleague and outperform chat models through planned thinking. Chapters compare model behavior, walk through research and training examples, and show how to brief reasoning models behind Microsoft 365 Copilot.

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What you'll learn

  • Describe the difference between a chat model and a reasoning model.
  • Identify five ways reasoning models outperform chat models.
  • Explain how a reasoning model researches a prompt using chain of thought.
  • Compare generic and brief-style prompts for planning tasks.
  • Write a goal-format-warnings-context brief for a reasoning model.
  • Recognize how reasoning models power researcher and analyst agents in Microsoft 365 Copilot.

Chapters

5 chapters · 14:34
  1. 1:15 01Model Basics Members Chat Model vs Reasoning Model Compare fast, predictive chat models with slower reasoning models that think through problems.
  2. 3:13 02Model Comparison Members 5 Ways Reasoning Models Outperform Chat Models See five practical differences across terminology, behavior, process, prompting, and interaction.
  3. 4:14 03Research Demo Members Real Example: Researching with a Reasoning Model Follow a health data prompt as a reasoning model searches, refines, and cites better sources.
  4. 2:33 04Planning Demo Members Planning an AI Training Session with Reasoning AI Compare a generic training prompt with a reasoning model output that shapes real learning design.
  5. 3:19 05Prompting & Copilot Members Powerful Prompt Briefs and Copilot's Reasoning Agents Use a goal-format-warnings-context brief and see where reasoning models appear in Copilot.