Popular FOSS Tools for LLM Observability, Monitoring and Evaluation

This overview of popular tools for monitoring large language models also sheds light on how LLM-as-a-judge enhances their performance.

- Dr Gaurav Kumar

It’s no secret that, these days, the corporate world as well as the government sector is using AI chatbots and large language models (LLMs) for data analytics and decision making. The key strengths of AI chatbots that use LLMs include multimodal search, content creation, programming, applications development, coding, scripting, multimedia creation, task automations, academic research, speech analytics, and data engineering.

In India, many MNCs as well as domestic IT companies are working on the development and deployment of AI chatbots for different applications. As per a report by the Bank of America, cited in The Economic Times, India is a leader in the adoption and implementation of AI models.

LLM-as-a-judge: Observation, monitoring and analytics of LLM platforms

LLM-as-a-judge is a technology for evaluating the performance of AI LLMs in terms of effectiveness of prompts, tokens used, cost factor, and many other parameters that directly affect the execution of the deployment.