How NLP is Used Today
Natural language processing has come a long way since the creation of the Turing test. And while machines have yet to pass it, there are many new use cases for natural language processing that have developed especially in recent years.
With the rise of deep learning and neural network technology, the machine learning possibilities of NLP have increased exponentially, and the kind of language work it can do has become increasingly complex.
Google’s LaMDA represents the most sophisticated dominican republic mobile database use case for NLP yet. It’s definitely a far cry from the more limited applications of ELIZA, and there have been many successive developments already in between.
Already, NLP tech can be used to generate fiction in the style of certain authors, and more advanced programs such as DALL-E that generate images based on text prompts. Some NLP programs are even able to generate code and create simple video games!
The tech’s still far from perfect, but recent developments truly have begun to fall into an uncanny valley more than ever before.