Model Training Insights
Mircea discusses the complexities of training machine learning models, emphasizing the importance of fine-tuning to meet specific customer needs. He highlights the shift to Pytorch for improved performance and outlines the human-in-the-loop approach that ensures continuous learning from mistakes. The conversation reveals how customer feedback plays a crucial role in refining document understanding models.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Mircea Neagovici — Robotic Process Automation (RPA) and ML
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