Eval-Driven Development with Jev

Advanced AI models can perform complex tasks but their reliability can be a concern, as even with identical prompts, results can vary significantly between attempts. Agent Evals is presented as a method to test AI agents, identify errors, and measure improvements. This approach can be used by anyone to test various AI workflows and enhance their reliability.

• AI models can produce different results even with identical instructions and the same model.
• The reliability of AI agents is becoming more important as they perform tasks like using tools, changing files, and making decisions.
• Agent Evals is a method for testing AI agents, finding errors, and verifying improvements.
• New AI models like Jev can assist in the evaluation process at a low cost.
• The article promises a guide on how to test AI workflows, build evaluation systems, use Jev, measure reliability, and improve agents through repeated testing.
  https://bender.layer3.press/articles/ef26d26e-f46f-4872-acda-ce720cdae50b