History of AI based on natural language processing reinterpreted from the Data-Centric AI perspective
Tech Hailey (Park Seong-min) . Tech Hailey (Park Seong-min) .

History of AI based on natural language processing reinterpreted from the Data-Centric AI perspective

What insights can we gain if we reinterpret natural language processing (NLP), one of the major fields in the 70-year history of artificial intelligence, from a Data-Centric AI perspective? Retraces the flow of AI from rule-based, statistical-based, machine learning-based, and deep learning-based to the era of the Large Language Model (LLM).

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DMOps (Data Management Operation and Recipes), building data in the field
Tech Hailey (Park Seong-min) . Tech Hailey (Park Seong-min) .

DMOps (Data Management Operation and Recipes), building data in the field

Rule-based, statistical-based, machine learning-based, deep learning-based, and LLM-based, there was no time when data was not important in the age of artificial intelligence. So, who is creating and designing this data? Let's summarize the 'A to Z of training data production' for creating high-quality AI models. Read more about DMOps on the Upstage Tech Blog!

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Data-Centric AI and Real-World
Tech Hailey (Park Seong-min) . Tech Hailey (Park Seong-min) .

Data-Centric AI and Real-World

Do you know about “Data-Centric AI” that emphasizes the importance of data in AI systems? In the real world that actually handles data, we will look at how to apply it to business and the elements needed to create good data.

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Until the birth of OCR that recognizes text (Upstage in-house OCR image data collection challenge)
Tech Hailey (Park Seong-min) . Tech Hailey (Park Seong-min) .

Until the birth of OCR that recognizes text (Upstage in-house OCR image data collection challenge)

Do you know the OCR technology that recognizes characters in a photographed image and is being used for digital innovation in various industries? Introducing the story of the in-house OCR image data collection challenge, in which stars gathered data for model training as a team and laid the foundation for performance, until the upstage OCR Pack, which enabled document automation without human post-processing, was born.

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