Webinar recap: Eval best practices

Bryan Cox and Ankur Goyal hosted a webinar titled "In the Loop: Technical Q&A," focusing on evaluation methods, agents, and observability in machine learning workflows. The session covered starting with simple evaluation metrics such as Levenshtein distance and factuality prompts, integrating evaluations into continuous integration systems using Braintrust's GitHub actions, and handling user feedback while ensuring privacy through anonymization features. It also introduced Braintrust's new agents feature for multi-step prompt chaining, support for multimodal data evaluations, and emphasized balancing automated scoring with human review. Brainstore, Braintrust’s logging database, was highlighted for its ability to manage large-scale LLM workloads efficiently. The discussion included the role of synthetic data as a complement to real data and the potential for evaluations to automate and align AI outputs more effectively with human expectations.

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