LLM Eval Tools Compared: Braintrust

The podcast episode centers on a review and discussion of Braintrust, an evaluation tool, with Wayde Gilliam from Braintrust demonstrating its functionalities for completing specific homework assignments related to building a recipe chatbot. The discussion covers creating datasets by importing user queries and metadata, and using the playground feature to refine system prompts. Gilliam uses Loop, an AI agent, to generate a recipe bot relevance score, and the panel discusses the complexities of optimizing prompts based on AI-generated evaluations. The panel also discusses the importance of incorporating subject matter expert feedback, specifically from family members, to improve the relevance and accuracy of the chatbot's responses. The conversation also touches on UI design, comparing Braintrust's interface with Langsmith's, and the practical applications of error analysis and synthetic data generation.