Identification of bottom and charm quarks is crucial for most physics analyses at the CMS Experiment. Advancement and proliferation of deep learning techniques as well as hardware developments have facilitated their use in high energy physics and CMS is successfully employing them to classify jets originating from bottom quarks with unprecedented performance. Furthermore, the improvements have been sufficient to begin meaningfully identifying charm jets as well.