https://github.com/comet-ml/opik-onboarding-sessions
https://github.com/comet-ml/opik-onboarding-sessions
Last synced: 10 days ago
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- Host: GitHub
- URL: https://github.com/comet-ml/opik-onboarding-sessions
- Owner: comet-ml
- Created: 2026-03-02T02:47:53.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2026-03-03T14:28:56.000Z (5 months ago)
- Last Synced: 2026-06-08T10:41:41.745Z (about 2 months ago)
- Language: Jupyter Notebook
- Size: 347 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# opik-onboarding-sessions
## Session 1: Offline Evaluation & Experiments
**Example 1**: Model Evaluation - how to use Opik to evaluate performance of different LLM models on a standardized dataset
**Example 2**: Agent Evaluation - how to use Opik to evaluate the performance of an Agentic application
## Session 2: Prompt Optimization
**Example 1**: System Prompt Optimization - how to use Opik's optimizer to automatically improve system prompt performance
**Example 2**: LLM Judge Optimization - how to use Opik's optimizer to automatically improve the performance of your LLM Judge based on human feedback
## Session 3: Production Observability
Use Opik to track and debug production traces, and monitor performance over time.