Patent applications in the machine learning space often face Section 101 rejections, specifically when it comes to training a machine learning model. The USPTO's guidelines provide an example where training a machine learning model can be considered patentable, but some examiners and the PTAB still find such claims to be abstract. It is important to clearly outline specific technical improvements achieved, provide detailed descriptions, and avoid generic language when claiming the training of machine learning models to increase the chances of obtaining patent protection.
https://www.mriplaw.com/blog/gjxygzzoatz1c7zhzyg7c2znr12at4
https://www.mriplaw.com/blog/gjxygzzoatz1c7zhzyg7c2znr12at4