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[] Adapting to tool output for decision-making
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Classroom Contents
Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development
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- 1 [] Boris' preferred coffee
- 2 [] Takeaways
- 3 [] Please like, share, leave a review, and subscribe to our MLOps channels!
- 4 [] Software Engineering and Data Science
- 5 [] AI Transformative Potential Explained
- 6 [] Prompt Injection Protection Strategies
- 7 [] Agent's metrics for Jira
- 8 [] Data and Metrics Evolution
- 9 [] Evaluation Focus Enhances Systems
- 10 [31:22 - ] LatticeFlow AD
- 11 [] Custom Evaluation and Synthetic Data
- 12 [] Synthetic data for expansion, evaluation, and map
- 13 [] Diverse agents' personalities for readiness
- 14 [] Agent functions
- 15 [] Optimizing Routing Agents
- 16 [] Adapting to tool output for decision-making
- 17 [] Agent framework evolution
- 18 [] Agent framework for delivering value
- 19 [] Wrap up