PAIDX

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saint david
Project Owner

PAIDX

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Overview

We propose the **PaidX** project for the $1.25M grant from the SingularityNET Foundation. PaidX aims to create an AI-driven predictive model and decision support system to address flooding caused by the Lagdo Dam in Cameroon, impacting Nigeria. Our team, with expertise in AI and environmental science, will enhance predictive accuracy using **Large Language Models (LLMs)** to analyze socio-economic data. We will conduct economic impact analyses and develop a user-friendly decision support framework. PaidX seeks to improve flood management, increase economic resilience, and provide actionable, data-driven policy recommendations for local authorities.

RFP Guidelines

Utilize LLMs for modeling within MOSES

Proposal Submission (21 days left)
  • Type SingularityNET RFP
  • Total RFP Funding $150,000 USD
  • Proposals 3
  • Awarded Projects n/a
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SingularityNET
Oct. 9, 2024

This RFP invites proposals to explore the integration of LLMs into the MOSES evolutionary algorithm. Researchers can pursue one of several approaches, including generation modeling, fitness function learning, fitness estimation, investigation into domain-independent “cognitively motivated” fitness functions, or propose new innovative ways to leverage LLMs to enhance MOSES's capabilities within the OpenCog Hyperon framework.

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