Solve Math problem using Crew AI

---

---

AI Summary

• Introduction
  • The speaker had an opportunity to demonstrate multi-agent interaction to solve a complex integral calculus problem given by their daughter.
  • The problem involved approximating a function between the bounds of -1 and 1 using five equal intervals.
• Manual Solution
  • The speaker recalled integral calculus concepts and solved the problem manually.
  • They consulted a math professor friend to verify the correctness of the solution.
  • The solution used the midpoint rule for approximation.
  • The width of each subinterval was calculated to be 0.4.
  • Midpoints and function values at these midpoints were determined.
  • The sum of these values multiplied by the width gave the approximate area under the curve.
  • The professor suggested that using the left side of the interval could also yield a correct approximation.
• Multi-Agent System
  • The speaker created a two-agent system using the open-source framework Crew AI.
  • Crew AI features include role-based agent design, autonomous interagent delegation, flexible task management, and process-driven execution.
  • The speaker demonstrated the use of Crew AI with a simple agent interaction to solve the calculus problem.
• Agent Roles and Tasks
  • Two agents were created: a math student and a math professor.
  • The math student’s role was to solve the problem, and the math professor’s role was to review and correct the solution.
  • Each agent was given a backstory and goals to prime the language model for its role.
• Crew AI Implementation
  • The speaker defined tools and tasks for the agents using Crew AI and Lang chain integration.
  • The math student attempted to solve the problem but provided an incorrect answer.
  • The math professor reviewed the solution, used the midpoint rule correctly, and provided the correct answer.
• Conclusion
  • The speaker demonstrated how two agents interacted to solve the integral calculus problem using Crew AI.
  • The correct solution was obtained through the collaboration of the math student and math professor agents.
  • The speaker plans to explore more complex scenarios with Crew AI in the future and will share the code on GitHub.