LTS Group

Discover how you can seamlessly integrate Artificial Intelligence into your products with our comprehensive eBook. Gain actionable insights, practical frameworks, and step-by-step strategies tailored for IT professionals and business leaders across industries. Elevate your product development process to stay competitive in today's technology-driven world. 👉 Download our eBook now!

🤝 존경하는 자동차 업계 리더 여러분, 다가오는 LTS Group의 세미나에 귀사를 정중히 초청드립니다. 🌟 본 세미나는 자동차 산업의 최신 동향과 글로벌 개발 센터(GDC) 구축 전략, 그리고 효과적인 아웃소싱 도입 방안을 중심으로 심도 있는 인사이트를 제공하고자 마련되었습니다. 특히 자동차 소프트웨어 전환과 글로벌 경쟁 환경 속에서 C-level 및 매니저 여러분께 실질적인 전략과 실행 방안을 제시하는 자리가 될 것입니다. 💡주제: 자동차 기업을 위한 글로벌 개발 센터(GDC) 구축 전략 (How to Build GDC for Automotive Businesses) 📆 일시: 2025년 10월 21일(화), 14:00 - 17:00 📍장소: 서울시 강남구 테헤란로 425, 신일빌딩 아래 링크를 통해 등록을 완료하시고 세미나에 함께해 주시기 바랍니다. 👇 https://lnkd.in/gwfpr9iM 세부 일정, 연사 정보 및 프로그램 내용은 추후 포스트를 통해 순차적으로 안내드리겠습니다. #IT아웃소싱 #GDC #글로벌개발센터 #BPO #베트남진출 #디지털전환 #IT전략 #자동차소프트웨어테스트 🌐 웹사이트:https://ltsgroup.tech/kr/ 📩 이메일:[email protected] 📰 네이버 블로그: https://lnkd.in/g4Q7ugeR 📰웹사이트블로그: https://lnkd.in/e2RmtvA3 ☎ 전화: (+84) 96-238-7474 🏢 본사:베트남, 하노이, 68 Nguyen Co Thach 대로, MHDI빌딩 17층 🏢 한국 사무소: 대한민국, 서울시 강남구 테헤란로 146 현익빌딩 12층 🏢 일본 사무소:일본, 도쿄, Taito-ku, Ikenohata 4-chome, 26-5 --------------------------------------------------------------------- 🚀 Sneak Peek: LTS Group’s Upcoming Seminar in October On Tuesday, October 21, 2025, LTS Group will host a private seminar in Korea, focusing on strategies for building a Global Development Center (GDC) for automotive companies. Rather than just theory, this seminar will explore the new growth drivers shaping automotive software, highlight industry trends with real case studies, and create space for in-depth discussions on what it really takes to build a GDC in Vietnam successfully. 💡 How to Build a Global Development Center (GDC) for Automotive Businesses 📆 Tuesday, October 21st, 2025 ⏩ Private seminar, offline (in Seoul) Stay tuned! Detailed agenda, speakers, and program updates will be shared soon. We look forward to connecting with industry peers and exchanging valuable perspectives. hashtag #ITOutsourcing #GDC #GlobalDevelopmentCenter #AutomotiveSoftware #VietnamExpansion #DigitalTransformation #ITStrategy #BPO #LTSGroup _______________________ 𝐋𝐓𝐒 𝐆𝐫𝐨𝐮𝐩 - 𝐓𝐨𝐰𝐚𝐫𝐝𝐬 𝐏𝐞𝐫𝐟𝐞𝐜𝐭𝐢𝐨𝐧 🌐 Website: https://lnkd.in/gsuTNhXj 📧 Email: [email protected] 📞 Hotline: (+84) 96-238-7474 📌 Headquarters: 17th Floor, MD Complex Tower, 68 Nguyen Co Thach Str, Hanoi, Vietnam 🏢 Japan Office: 26-5, Ikenohata 4-chome, Taito-ku, Tokyo 🏢 US Office: 25787 Rawley Springs Dr, Chantilly, VA 20152 🏢 Korea Office: 12th floor of Hyeonik Building, 146, Teheran-ro, Gangnam-gu, Seoul, Korea

Here's what most AI teams get wrong: They obsess over model architecture, hyperparameters, and training infrastructure... But ignore the #1 factor that determines success: training data quality. When you're working with external data providers, inconsistent annotation standards silently sabotage your entire project. Our new eBook reveals: ➡ The 4-dimension framework for LLM data QA ➡ How to audit vendor data like a pro ➡ Measurable criteria that prevent costly rework ➡ Implementation steps you can start using today Written for GenAI teams who are tired of fixing data quality issues in production. Download your free copy and stop letting bad data hold you back.

Your LLM is only as good as your training data. When working with external data vendors, how do you ensure quality without becoming a bottleneck? LTS Global - trusted by AI teams worldwide - shares their proven framework for building QA criteria that actually work. Inside this free eBook: - Framework for QA standards across 4 critical dimensions - How to align datasets with evaluation benchmarks - Practical implementation steps you can use immediately - Real-world guidance from teams shipping production LLMs Stop guessing whether your training data is good enough. Get the framework used by teams building models that perform in the real world.

Building LLMs you can trust starts with your training data. If you're sourcing data from external vendors, you need clear QA standards to validate quality before training begins. This free eBook provides a step-by-step framework to: ➡ Define measurable QA criteria for LLM datasets ➡ Audit externally sourced data effectively ➡ Align your team and vendors on quality standards ➡ Reduce costly rework and improve model reliability Perfect for AI teams working with data providers who want to move faster without sacrificing quality. Get your practical guide to building better training datasets, no fluff, just actionable steps you can implement this week.

Most LLM projects don't fail at the model level, they fail at the data layer. When you're working with external data vendors, inconsistent annotation quality, hidden bias, and unclear standards lead to: ❌ Endless rework cycles ❌ Delayed deployments ❌ Models that underperform in production Sound familiar? Our new eBook "How to Build QA Criteria for LLM Training Datasets" gives you a practical framework to take control of data quality BEFORE it impacts your model. ✅ Define measurable QA criteria ✅ Evaluate vendor data against consistent benchmarks ✅ Apply standards across Quality, Knowledge, Security & Safety ✅ Reduce rework and ship faster 👉 Download your free copy and stop letting bad data slow you down.