Transfer learning, a deep learning subset of advanced machine learning methods, which was introduced by researchers in
2019, drastically lowers the amount of data required for machine learning by pre-training models on other data. The
discovery of this NLP technology has had a major impact on reducing the cost of building practical NLP systems. Plenty
of open-source NLP libraries are also available, which can further reduce development costs.
The cost of a natural language processing project will also depend on the specific requirements and the size and
complexity of the project. A detailed planning phase and an iterative approach are crucial in every AI-based project.
Please contact us to discuss your specific project needs and get a price quote. Our team will work with you to develop a
custom solution that fits your budget and meets your requirements.