The author discusses evaluating a finetuned Language Model (LLM) for structured data extraction from press releases, focusing on accuracy metrics. They compare the model’s performance to OpenAI, highlighting challenges and code implementation details. The dataset is loaded and converted into Pydantic objects for validation. The author explores making predictions and comparisons with GPT models, noting the complexities of prompts. They also discuss the effort needed to achieve similar accuracy levels and share code for querying OpenAI for data extraction. The post provides detailed examples and insights into the evaluation process, showcasing a comprehensive approach to model assessment.
https://mlops.systems/posts/2024-07-01-full-finetuned-model-evaluation.html