Beyond Linear LLM Invocation: An Efficient and Effective Semantic Filter Paradigm | ScienceToStartup | ScienceToStartup

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References (39)

[1]

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees

2025Sepanta Zeighami, Shreya Shankar et al.

[2]

Research Challenges in Relational Database Management Systems for LLM Queries

2025Kerem Akillioglu, Anurag Chakraborty et al.

[3]

Semantic Operators and Their Optimization: Towards AI-Based Data Analytics with Accuracy Guarantees

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"An efficient semantic filtering framework that reduces LLM invocation costs for large datasets using a novel clustering-sampling-voting approach."

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Beyond Linear LLM Invocation: An Efficient and Effective Semantic Filter Paradigm

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References (39)

Founder's Pitch

"An efficient semantic filtering framework that reduces LLM invocation costs for large datasets using a novel clustering-sampling-voting approach."

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Beyond Linear LLM Invocation: An Efficient and Effective Semantic Filter Paradigm

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References (39)

Founder's Pitch

"An efficient semantic filtering framework that reduces LLM invocation costs for large datasets using a novel clustering-sampling-voting approach."

Commercial Viability Breakdown

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