<s>[INST] One of our recurrent ML pipelines become constantly over-fitting in its daily training recently. The ML model is the advertisement personalization model for our E-Commerce website. What do you think could be the problem? [/INST] It is impossible to say without more details of the operation of the system. What kind of machine learning algorithms does it use? How is it trained? What makes you think it is overfitting?</s>\ <s>[INST] It is displaying classic over fitting tendencies, such as repeating the same words exactly from the training data set without variance. Why would this be happening? [/INST] There are multiple reasons an ML model may be over-fitting. You can try these suggestions:
1) shrink the network
2) stop the training early
3) give it more data, probably by augmenting your existing data
4) change the network architecture</s>