Top AI Tools for Startups

This comprehensive guide provides developers, product managers, and AI Teams with a structured framework for optimizing large language model (LLM) applications to achieve reliable performance. It explores techniques like prompt engineering, retrieval-augmented generation, and fine-tuning to establish strong baselines, fill knowledge gaps, and boost consistency. The goal is to systematically evaluate and improve LLM apps to deliver delightful generative experiences.

In this article, we provide a comparative analysis between Google's Gemini Pro and OpenAI's GPT-3.5, evaluating their performance, scalability, and cost-effectiveness.