With the recent advancements of AI/ML, many tasks that were once unapproachable have become not. One of these tasks is asking questions to computers in a natural language and getting accurate and reasonable answers. Indeed, doing this task today is enabled by large language models that are notable for their ability to achieve general-purpose language generation and other natural language processing tasks.1
Category: machine learning
Classification is one of the most popular tasks in Natural Language Processing and Machine Learning. Solr ships with features, a subset of Streaming Expressions features, that allows building and deploying statistical classification models out-of-the-box. With adequate preprocessing and indexing tweaks, these features can be used to classify documents quickly and with high accuracy. This post illustrates how Solr streaming expressions and Zeppelin notebooks can be used to build a document classifier.