Training a machine learning model to solve a business problem is only one part of the solution. Once the model is trained and validated, it must be deployed in a scalable and reliable manner to a production environment, and this poses its own challen...
Not too long ago, chatbots and assistants didn't work well. The ones that did, like Amazon Alexa, were developed by companies with enormous R&D budgets and specialized ML and NLP teams. But due to leaps in the performance of NLP systems made after th...
When most computer scientists think of information retrieval, statistical keyword algorithms like TF-IDF and BM25 probably come to mind. These are deployed in open source systems such as Apache Lucene and Apache Solr. Cloud versions of keyword search...
