[Data Deep Dive #6] What Is LLM Training Data? RLHF & CoT Explained
In the early days of machine learning, each model was designed for a specific task. A representative example is a spam filter, which classifies whether an incoming email is spam…
[Data Deep Dive #5] How Speech and Multimodal Data Power AI Training
One of the apps that has become essential when traveling abroad is an automatic translation app. In the past, people often communicated in broken English depending on the language environment,…
[Data Deep Dive #4] Data Warehouse Strategy for AI Training Data
There was a time when the term Big Data dominated industry conversations. Data was continuously generated from various sources such as web/app services and IoT devices, yet due to limitations…
From Data to Structural Profitability in AI
A Different Starting Point in the AI Cycle Flitto was built long before the recent generative AI wave, on a strategic foundation of multilingual data infrastructure.For over a decade, the…
[Data Deep Dive Special Edition] Small Language Models for Machine Translation
Large Language Models have significantly advanced machine translation performance.As model sizes scale from billions to trillions of parameters, benchmark scores continue to rise—but so do computational costs and deployment complexity.…
AI vs. Human Translation: How Many Professors Chose AI?
Two English translations were prepared, one by a professional human translator and the other generated by ChatGPT. Sixteen Professor of English Literature were shown only the original Korean text and…
[Data Deep Dive #3] How High-Quality AI Training Data is Built and Validated
When enterprises commission datasets for AI training, they consistently ask for the same four things:high quality, large volume, fast delivery, and cost efficiency. At first glance, quality and speed appear…
Good students study languages. Smart professionals speak globally with AI.
*Title inspired by the famous quote, “Good girls go to heaven, bad girls go everywhere.” Effort does not always translate into fair opportunity, especially on the global stage. One of…
[Data Deep Dive #2] Building and Validating Data Using a Platform
Artificial intelligence was once something we could only encounter in science fiction movies or novels. Today, however, AI technologies have become deeply embedded in our daily lives, rapidly transforming the…
Jensen Huang’s CES 2026 AI Keynote, Interpreted by Flitto
At CES 2026, NVIDIA CEO Jensen Huang delivered a globally watched AI keynote. He outlined the future direction of AI infrastructure before an audience of government officials, technology leaders, enterprises,…