The next generation of ChatGPT, a groundbreaking leap in AI technology, is here. But is it worth the financial investment? Let’s review some key differences between ChatGPT3.5 and ChatGPT4 and delve into what you need to understand. ChatGPT, OpenAI’s powerful Natural Language Generation (NLG) tool that autonomously generates text, rocked
What is Named Entity Recognition (NER)? Named Entity Recognition (NER) represents a subdivision of Natural Language Processing (NLP) tasked with the automatic detection and classification of named entities present within a given text. Named entities, in this context, refer to explicit references to individuals, organizations, geographic locations, dates, or any
Artificial Intelligence’s application in Automatic Speech Recognition (ASR) has become indispensable, with its numerous applications ranging from voice assistants, call center services, to assistive tools for the deaf and elderly. The accuracy of ASR systems is heavily dependent on substantial training data. This data can be speech, simulated dialogues involving
Voice /Speech Data for Machine Learning Building Ethical AI into all our data processes is at the heart of what we do. We legally collect voice / speech data from our multilingual pool of talent distributed around the world so you can train and improve your Automatic Speech Recognition systems
Our linguists are skilled in understanding and interpreting day-to-day, conversational and nuanced language so you can improve your translation systems.NLPC has the ability to create parallel corpora data sets from and into English from most languages in the world. With a diversified team of linguists around the world, we have
If you are developing a computer vision system, you will need thousands, millions of images, videos, and sensor data to train machine learning models for computer vision. – NLPC can provide both the Data Sets for Computer Vision and the annotation services to make your project a success. The types
Parallel data, also known as parallel corpora, refers to collections of translation pairs comprising sentences and their corresponding translations. These datasets are utilized in the training and evaluation of machine translation models. Creation of parallel data can be accomplished through manual, automatic, or synthetic means using monolingual data. It can
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Founded in 2022, our mission is to make AI more multilingual and accurate thanks to expert data annotation and data labeling services for the creators of the future.
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