The Difficulty of Evaluating AI Models with Ankur Goyal

The Difficulty of Evaluating AI Models with Ankur Goyal

1 Min Read

Evaluations play a crucial role in assessing the quality, performance, and effectiveness of software during development. Common evaluation methods, such as code reviews and automated testing, help identify bugs, ensure compliance with requirements, and measure software reliability.

However, evaluating LLMs presents unique challenges due to their complexity, versatility, and potential for unpredictable behavior.

Ankur Goyal, CEO and Founder of Braintrust Data, provides an end-to-end platform for AI application development with a focus on making LLM development robust and iterative. Ankur, who previously founded Impira, acquired by Figma, and later led the AI team at Figma, discusses Braintrust and the unique challenges of evaluating in a non-deterministic context.

Sean, an AI Entrepreneur in Residence at Confluent, has a background as an academic, startup founder, and Googler. He has published works on diverse topics, including AI and quantum computing, and focuses on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

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