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LLM Observability: Tracing, Scoring and Debugging Language Model Applications

What LLM Observability Adds Beyond Application Monitoring

Quiz: What LLM Observability Adds Beyond Application Monitoring

Traces, Spans and Sessions in a Multi Step AI Application

Quiz: Traces, Spans and Sessions in a Multi Step AI Application

What to Log: Prompts, Context, Tool Calls and Responses

Quiz: What to Log: Prompts, Context, Tool Calls and Responses

Redaction and Privacy Controls in Trace Data

Quiz: Redaction and Privacy Controls in Trace Data

OpenTelemetry Conventions for Generative AI Spans

Quiz: OpenTelemetry Conventions for Generative AI Spans

Online Scoring: Automated Judges Running on Live Traffic

Quiz: Online Scoring: Automated Judges Running on Live Traffic

User Feedback Signals and the Selection Bias They Carry

Quiz: User Feedback Signals and the Selection Bias They Carry

Retrieval Diagnostics: Was the Right Context Even Fetched?

Quiz: Retrieval Diagnostics: Was the Right Context Even Fetched?

Cost, Token Usage and Latency Budgets by Route

Quiz: Cost, Token Usage and Latency Budgets by Route

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Quiz: User Feedback Signals and the Selection Bias They Carry

LLM Observability: Tracing, Scoring and Debugging Language Model Applications
User Feedback Signals and the Selection Bias They Carry
Quiz: User Feedback Signals and the Selection Bias They Carry

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Question 1 of 5

1. Question

What type of feedback includes direct ratings, comments, and correction suggestions?

Implicit feedback
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Selection bias
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Explicit feedback
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Temporal analysis
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Question 2 of 5

2. Question

Why might feedback data not accurately represent overall user satisfaction?

Users do not understand the feedback process
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Feedback is only collected during peak usage times
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Selection bias occurs when only certain users provide feedback
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The feedback system is too complex for users
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Question 3 of 5

3. Question

What is one way to manage bias in feedback collection?

Only collect feedback from highly engaged users
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Use stratified sampling to represent diverse user groups
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Avoid collecting feedback during seasonal periods
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Ensure feedback is only gathered through automated systems
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Question 4 of 5

4. Question

What can cause feedback datasets to be dominated by extreme opinions?

Users are required to submit feedback for every interaction
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Feedback is collected through anonymous surveys
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Self-selection effects mean only active users participate
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Feedback is only gathered from customer support agents
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Question 5 of 5

5. Question

What should teams monitor regularly to detect bias in feedback data?

The number of feedback forms available online
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The total volume of feedback received each week
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The composition and patterns of feedback over time
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The cost of feedback collection tools
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