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The following text has been translated from Korean to English using AssistAce. One of the easiest AI solutions to help with LLM (Language Learning Models) these days is the Summary feature. It is a feature useful for its ability to convert long or difficult to understand documents into short and easy to understand content. The feature is already widely utilized and easily accessed to summarize various types of documents such as news, PDFs, webpages, etc. Challenge As seen thr

Overview: TecAce leads the development of AI services that can improve work productivity Using AI Technology. We employ generative AI to develop technology that can transform documents into the desired format and summarize them. We also apply this technology to translation to provide translation services in professional fields. Through our proprietary technology that evaluates and analyzes the results of generative AI, we have become a professional AI technology development c

Introduction: TecAce, a renowned leader in both the television and artificial intelligence industries, has consistently demonstrated an unwavering commitment to innovation and user experience enhancement. In our relentless pursuit of excellence, we continually explore the symbiotic integration of emerging technologies to address user pain points and breathe life into groundbreaking ideas. It is from this foundation of innovation and technological synergy that the concept of i

Introduction As we venture further into the digital age, the significance of Generative AI, specifically the LLM, in a multitude of sectors cannot be overstated. This cutting-edge technology offers revolutionary solutions for businesses, challenging conventional methods and heralding a new era of efficiency and innovation. From deploying AI-driven customer service chatbots to facilitating advanced data analytics, the introduction of Generative AI underscores its expansive pot

Introduction In the fast-paced and ever-evolving retail sector, companies constantly seek new strategies to enhance customer interactions and provide a more personalized shopping experience. AI-powered facial recognition is a groundbreaking technology that has emerged as a game-changer in this transformation. This case study explores the implementation of this technology and how it has been leveraged in retail environments. Application of AI-Powered Facial Recognition AI faci

BACKGROUND The customer was looking to start an LLM project but was in a time crunch. The current solution was to purchase Nvidia’s DGX H100 HPC units to fulfill their need to create their solution to supply their customer’s needs for a Large Language Model. The initial purchase was done at the beginning of the year with a supplier that promised them 4 nodes by the middle of the year and the balance of an additional 4 nodes by the end of the year. This meant that their total

Background Ring, a renowned smart home security company, offers a range of products including video doorbells. To address the inconvenience and limited functionality of monitoring the doorbell solely through smartphones, we embarked on a mission to develop a smartwatch-optimized Ring Doorbell app. This case study highlights the challenges faced, innovative solutions implemented, and the positive impact of introducing the watch app. Challenges and Solutions The primary challen

Retail Store Visitor Analysis Solution TecAce, a provider of retail store solutions, recognized new market demands. We wanted to know which customers were enjoying the various experiences offered by the devices displayed in retail stores. If we could identify which experiences were preferred by certain demographic groups and how they were being used, it would greatly aid the development of future experience apps. Additionally, we could provide targeted content to customers, a

How TecAce Used Deep Learning to Create an AR Earbud Simulator In this blog post, we will share how we, TecAce, a company specializing in providing professional store display solutions, used deep learning to create an AR earbud simulator that allows customers to try on different designs and colors of earbuds using their mobile phone cameras. This project was a challenge for us, as we had to develop a machine learning algorithm that can detect ears and ear canals accurately fr