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!
Why upstage is the most notable ai company in ocr/recommendation/search fields
Let's take a look at Upstage's unrivaled AI experts and technology, which are recognized for their value as a leading AI company, and introduce you to Upstage's tech story, which is more promising for the future.
Developing service-oriented AI models Ep.4 Efficient AI teaming for AI model development
Ep. Check out 4 to see what the most efficient team building and the role of each member are for the successful development of a service-oriented AI model.
Developing service-oriented AI models Ep.3 Deriving test datasets, test methods, and model requirements
Ep. With 3, you can find test datasets of AI models, how to test them, and more details on how to derive model requirements.
Developing a service-oriented AI model Ep.2 Preparing a training dataset for developing an AI model
Ep. Check out 2 for the first steps to developing a service-oriented AI model, how to prepare a training dataset and how to create it.
Developing service-oriented AI models Ep.1 Differences in the AI model development environment
Ep. Check out 1 to see the difference between 'AI development process in a school/research environment' and 'process in a real industrial setting' and why they occur.