What It Actually Takes to Deploy GenAI Applications to Enterprises: Custom Evaluation Models

Alexander Kvamme (Echo AI) and Arjun Bansal (Log10) discuss the challenges and solutions for deploying Generative AI applications, particularly Large Language Models (LLMs), in enterprise environments. They highlight Echo AI's experience deploying their conversational intelligence platform to large retail brands, addressing issues with LLM accuracy and the need for scalable solutions. The talk covers iterative prompt engineering, collaborative workflows for prompt optimization, and the importance of an end-to-end LLMOps workflow. They emphasize how platforms like Log10 enable efficient resolution of accuracy issues, scaling enterprise customers, and leveraging AI-powered assistance. The discussion also touches upon infrastructure requirements for enterprise-scale deployment, including logging, debugging, prompt optimization, and seamless integration with existing AI tech stacks. Log10's role in automating LLM evaluation and improving model accuracy through prompt optimization and fine-tuning is also detailed.