Natural language processing (NLP), a branch of artificial intelligence, addresses the understanding of human language (both in written and spoken form) by computers. As a scientific discipline, NLP covers tasks such as determining sentence structures and boundaries in documents, detecting keywords or phrases in audio recordings, inferring relationships between documents, and uncovering meaning in informal or slang speech patterns. NLP can make it possible to analyze oral data and recognize patterns that are not currently structured.
NLP holds the key to enabling major advances in text analysis and gaining deeper and potentially more powerful insights from social media data streams where slang or non-traditional language is prevalent.
Data cleanup, or data rubbing, is the process of detecting and correcting or removing data or records that are incorrect from a database. It also includes correcting or removing unformatted or duplicate data or records.
AI Model Evaluation Metrics (AI Model Evaluation Metrics) are mathematical metrics used to measure, compare, and improve the performance of artificial intelligence and machine learning models
Cross-Attention is a powerful mechanism for sharing information between different datasets or different modalities (e.g. text and image) in artificial intelligence, especially in generative AI models.
We work with leading companies in the field of Turkey by developing more than 200 successful projects with more than 120 leading companies in the sector.
Take your place among our successful business partners.
Fill out the form so that our solution consultants can reach you as quickly as possible.
By combining our 30+ years of experience and experience with the centers of excellence in our ecosystem, we prepare your organization to lead the digital transformation!
