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52 lines
1.6 KiB
Markdown
52 lines
1.6 KiB
Markdown
---
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present_time: 15 minutes
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qa: 15 minutes
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---
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> Notes for presentation deck: keep minimal text, highlight only key metrics or keywords and diagrams, if possible do progressive reveal of items on slides, if going through a list, make each appear progressively on new slides like an animation.
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# Introduction [2min]
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> Hook: Extracting margin in markets with high density of AI agents.
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- Say what today's agenda is (show in the blocks at the botton of each slide and with each slide indicate which stage we are at)
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- Highlight problem (add financial consequence)
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- What are we trying to answer?
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# First Stage (Platform Development) [4min]
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- Talk about designing the platform (nextjs design and apache airflow and kafka)
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## About the Platform
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- Show an architecture diagram.
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## Dataset Brief
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- Screenshot of the HF dataset and highlight some key features of the dataset with big numbers indicated.
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## Experimental Design
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- Say how we collected data and how we used AI Agents
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### AI Agents
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- browser use
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- models used (say we used the LLM router for different models)
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# Second Stage (Distinguishability Construction) [4min]
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- Explain kernels of behavior (what is a kernel)
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- How we separate kernels and finally how we turn that into a probability.
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# DR-RL [4min]
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- Explain simple wesserstein balls and ambiguity
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- Highlight computational complexity
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## Results [1min]
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- Empirical results from experiments
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# Conclusions
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- Consequences of our work (financial and future implications for pricing systems)
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- Did we answer what we wanted? How?
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# Appendix
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## Derivation of the COI theorem
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## Reward Structure Composition
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## On our Sample Size
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