Multi-step reasoning
The process of decomposing a complex problem into a sequence of discrete, logical operations or “steps” to arrive at a final solution or conclusion.
Core Principles
- Requires coherent reasoning to maintain logical consistency across the entire chain.
- Relies on the ability to process and integrate disparate data types (e.g., text, code, and vision) within a single logical flow.
- Often implemented through Chain-of-Thought (CoT) architectures.
Advancements in Large Language Models
- Gemini 3 Implementation:
- Capable of executing 10-15 sequential steps of reasoning within a single task.
- Simultaneous processing of video, images, and code to inform the reasoning chain.
- Direct integration with Google Workspace for tool-augmented reasoning and execution.
Backlinks:
- 2026 04 14 8 Gemini use cases