When breaking a big task into smaller parts, we want to measure how well each part helps the whole goal. Key metrics include accuracy of each subtask, completion rate, and error propagation. These show if the parts work well alone and together. If subtasks have low accuracy, the final result suffers. So, monitoring each step's performance helps improve the whole process.
Task decomposition strategies in Agentic AI - Model Metrics & Evaluation
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Subtask: Classify images into cats or dogs
Predicted
Cat Dog
True Cat 80 20
Dog 15 85
Total samples = 200
TP (Cat) = 80, FP (Cat) = 15, FN (Cat) = 20, TN (Cat) = 85
This matrix helps calculate precision and recall for the subtask. Good subtasks have high precision and recall, so errors don't build up.
Imagine a task split into parts where one part finds important items (high recall) but sometimes mistakes others (low precision). Another part is very sure but misses some items (high precision, low recall). Balancing these is key. For example, in a medical diagnosis task, missing a disease (low recall) is worse than false alarms (low precision). So, task parts should be tuned to the goal.
- Good: Subtasks with precision and recall above 90%, low error propagation, and consistent completion.
- Bad: Subtasks with precision or recall below 60%, causing many errors to pass on and reduce final output quality.
Good metrics mean subtasks work well alone and together. Bad metrics show weak parts hurting the whole.
- Ignoring error propagation: Small errors in subtasks can grow and ruin final results.
- Overfitting subtasks: Subtasks too tuned to training data may fail in real use.
- Data leakage: Subtasks accidentally use future info, inflating metrics falsely.
- Accuracy paradox: High accuracy in subtasks with imbalanced data can be misleading.
Your task decomposition model has 98% accuracy overall but one subtask has only 12% recall on a critical class. Is it good for production?
Answer: No. The low recall means the subtask misses many important cases. This will cause the whole system to fail on those cases, despite high overall accuracy. Improving recall in that subtask is crucial before production.
Practice
Solution
Step 1: Understand the meaning of task decomposition
Task decomposition means splitting a big task into smaller parts that are easier to handle.Step 2: Identify the correct purpose
The goal is to make complex problems simpler by breaking them down, not to combine or skip steps.Final Answer:
To break a big task into smaller, manageable steps -> Option DQuick Check:
Task decomposition = breaking big tasks down [OK]
- Confusing decomposition with combining tasks
- Thinking it skips steps
- Believing it makes tasks more complex
Solution
Step 1: Review the principles of task decomposition
Steps should be clear, simple, and done one after another to keep things organized.Step 2: Match the correct description
Break the task into clear, simple steps done one by one matches this idea, while others suggest skipping or mixing tasks, which is incorrect.Final Answer:
Break the task into clear, simple steps done one by one -> Option AQuick Check:
Clear, simple steps = correct decomposition [OK]
- Trying to do all steps at once
- Skipping difficult steps
- Mixing unrelated tasks in one step
"Prepare a report", which of the following is a correct decomposition output?Solution
Step 1: Understand logical order of steps
First, collect data, then analyze it, write the report, and finally review it.Step 2: Check each option's order
Only ["Collect data", "Analyze data", "Write report", "Review report"] follows this logical sequence; others mix the order incorrectly.Final Answer:
["Collect data", "Analyze data", "Write report", "Review report"] -> Option BQuick Check:
Logical step order = ["Collect data", "Analyze data", "Write report", "Review report"] [OK]
- Mixing steps in wrong order
- Starting with writing before data collection
- Reviewing before writing
["Start project", "Finish project", "Plan project", "Execute project"]Solution
Step 1: Analyze the logical order of steps
Planning should happen before starting a project to guide the work.Step 2: Identify the error
The list starts with 'Start project' before 'Plan project', which is incorrect order.Final Answer:
Steps are in wrong order; planning should come before starting -> Option AQuick Check:
Plan before start = correct order [OK]
- Ignoring step order
- Assuming no error if steps exist
- Thinking start can come before plan
Solution
Step 1: Understand the problem complexity
Cleaning a messy room is complex; breaking it into zones makes it manageable.Step 2: Choose the best strategy
Divide the room into zones, then clean each zone step-by-step breaks the task into smaller parts done step-by-step, which is effective and organized.Final Answer:
Divide the room into zones, then clean each zone step-by-step -> Option CQuick Check:
Break big task into small parts = Divide the room into zones, then clean each zone step-by-step [OK]
- Cleaning randomly without plan
- Skipping parts of the task
- Trying to do everything at once
