LATEST TECH ARTICLES

개요: AI 안전을 위한 두 가지 접근법   대규모 언어 모델(LLM)을 활용한 챗봇을 안전하게 운영하기 위해  사전 차단 (pre-blocking)과  사후 모니터링 (post-monitoring) 두 가지 전략이 존재합니다.  사전 차단 은 사용자  프롬프트를 미리 필터링 하거나 입력 단계에서 제약을 걸어 위험한 요청을 모델 추론 전에 차단하는 방법입니다. 반면  사후 모니터링 은 LLM이 응답을 생성한  후에 해당 출력을 실시간 또는 사후에 감시 하고 감사하여 부적절한 응답이 최종 사용자에게 전달되지 않도록 하는 접근입니다. 최근 엔터프라이즈 SaaS 환경의 챗봇에서는 이러한 안전 전략의 중심이  사전 차단 에서  실시간/사후 출력 모니터링 으로 이동하고 있습니다. 본 분석에서는 왜 이런 변화가 일어나고 있는지, 주요 LLM 제공업체들은 이를 어떻게 구현하고 있는지, 그리고 기업이 자체 AI 감독(Supervision) 레이어를 구축할 때 무

Overview: Two Approaches to AI Safety To safely operate chatbots that utilize Large Language Models (LLMs), two primary strategies exist: pre-blocking  and post-monitoring . Pre-blocking  is a method that filters user prompts in advance or applies constraints at the input stage to block risky requests before they are processed by the model. In contrast, post-monitoring  is an approach that supervises and audits the LLM's output in real-time or after the fact to prevent inappr

AI translation solution presented through a real prompter Executive Summary  This Case Study aims to discuss our in-house developed AI-based real-time translation solution designed to overcome communication difficulties in corporate workshops with a multilingual environment. Although the initial model was built upon the OpenAI API, it faced issues with mistranslating company-specific terminology and employee names. To address this, we integrated our independently developed Co

Project Overview The retail chatbot project for a smartphone manufacturer was launched to provide product information, respond promptly to online customer inquiries, and elevate the quality of product consultations. This chatbot goes beyond simple information delivery—it is designed to understand the user’s situation and the flow of their inquiries, offering product recommendations, real-time Q&A, and purchase or promotion guidance. Business Requirements The business goals of

South Korean telecommunications companies are significantly strengthening their AI-based voice phishing and spam blocking services as voice phishing crimes surge nationwide. With voice phishing damages reaching 311.6 billion won in the first quarter of 2025 alone—a 2.2-fold increase compared to the same period last year—telecom operators are moving beyond traditional passive blocking methods to implement proactive security solutions through real-time AI analysis. Escalating V

Background & Challenges As customer expectations evolve, companies are no longer satisfied with basic chatbot functionalities. There is a growing demand for intelligent assistants that deliver a high-tech yet personable customer experience. This trend has accelerated the adoption of AI avatars and next-gen virtual agents. From an IT consulting standpoint, while visual quality of avatars matters, the top priority is ensuring the chatbot delivers accurate and trustworthy respon

TecAce, an IT company based in Seattle, with 24 years of experience, has changed its vision and business strategy to AI Transformation...

The following text has been translated from Korean to English using AssistAce . One of the easiest AI solutions to help with LLM...

Overview: TecAce leads the development of AI services that can improve work productivity Using AI Technology. We employ generative AI to...

Introduction: TecAce, a renowned leader in both the television and artificial intelligence industries, has consistently demonstrated an...

Introduction As we venture further into the digital age, the significance of Generative AI, specifically the LLM, in a multitude of...

Introduction In the fast-paced and ever-evolving retail sector, companies constantly seek new strategies to enhance customer interactions...

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...

Background Ring, a renowned smart home security company, offers a range of products including video doorbells. To address the...

Retail Store Visitor Analysis Solution TecAce, a provider of retail store solutions, recognized new market demands. We wanted to know...

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...