In the current landscape of digital transformation, AI has moved from being a futuristic concept to a daily business tool. At the heart of this revolution are LLMs (Large Language Models)—the engines that power everything from writing assistants to complex data analysis tools. However, as more companies integrate these models, a critical question has emerged: How accurate is the information provided by the AI?
For a business, a “mostly correct” answer is often worse than no answer at all. At NKKTech Global, we believe that LLM accuracy is not just a technical metric; it is the foundation of trust between a brand and its customers. In this guide, we will explore why AI makes mistakes, how we measure accuracy, and the innovative ways NKKTech Global is ensuring that your AI stays on the path of truth.
Table of Contents
1. Understanding the Accuracy Gap in LLMs
To improve accuracy, we must first understand why it fails. Standard LLMs are trained on massive datasets from the internet. While this makes them incredibly “knowledgeable,” it also introduces three main challenges:
The Hallucination Problem
A “hallucination” occurs when an AI generates a response that sounds logical and confident but is factually incorrect. This happens because the model is predicting the next most likely word in a sequence, rather than checking a database of facts.
Data Staleness
Information changes rapidly. An AI trained in 2023 will not know about your company’s 2025 product launch unless it is given access to new data. Using outdated information is a significant hit to LLM accuracy.
Lack of Context
Standard AI models do not know your specific business rules, tone of voice, or private client history. Without this context, the AI provides generic answers that may not apply to your specific situation.
2. How NKKTech Global Defines and Measures Accuracy
At NKKTech Global, we don’t just guess if an AI is performing well. We use a rigorous framework to quantify LLM accuracy based on three pillars:
- Factuality: Does the response align with the source material provided?
- Relevance: Does the answer actually address the user’s specific question?
- Faithfulness: Does the AI avoid adding “extra” information that wasn’t in the original documents?
By measuring these metrics, our engineering teams in Vietnam and Singapore can fine-tune models until they meet the high standards required for enterprise-level deployment.
3. The NKKTech Global Solution: RAG and Grounding
How do we fix the accuracy problem? The answer lies in a technique called Grounding through RAG (Retrieval-Augmented Generation).
Instead of letting the AI rely on its own “imagination,” NKKTech Global connects the LLM to a verified source of truth—your company’s private data.
The Process of Verification:
- Search: When a user asks a question, the system searches your specific documents.
- Context Injection: The relevant facts are sent to the AI along with the question.
- Fact-Based Generation: The AI is instructed: “Use only the provided information to answer.”
This shift from “generative” to “retrieval-based” response generation dramatically increases LLM accuracy, often reaching levels near 100% for specific technical queries.
4. Why Accuracy Matters for Different Industries
Different sectors have different “tolerance” levels for errors. NKKTech Global tailors its AI solutions based on these needs:
FinTech and Banking
In the financial world, a decimal point in the wrong place is a disaster. NKKTech Global’s accurate AI systems help banks automate compliance checks and customer queries with zero-margin-of-error protocols.
Healthcare and Legal
Accuracy in these fields is a matter of safety and law. Our RAG-powered assistants help professionals find the exact clause in a contract or the specific dosage in a medical manual without the risk of the AI “making things up.”
Customer Experience (CX)
A chatbot that gives the wrong return policy destroys customer loyalty. By ensuring LLM accuracy, we help brands build a reputation for being reliable and helpful.
5. Beyond Accuracy: The Role of Human-in-the-Loop
Even with the best technology, AI is a tool meant to assist humans, not replace them entirely. NKKTech Global advocates for a Human-in-the-Loop (HITL) approach for high-stakes decisions.
We build “feedback loops” where the AI’s answers are periodically reviewed by human experts. If an error is found, the system is updated immediately. This continuous learning cycle ensures that the LLM becomes more accurate every single day.
6. Choosing NKKTech Global for Your AI Journey
Building an accurate AI system is a complex engineering feat. It requires deep knowledge of LLMs, data indexing, and prompt engineering.
With a portfolio of over 200 international projects, NKKTech Global has refined the process of making AI dependable. Our presence at the Singapore FinTech Festival 2025 showcased our latest breakthroughs in “Verifiable AI”—systems that don’t just give you an answer, but show you exactly which document that answer came from.
7. The Future of AI is Truthful
The “hype” phase of AI is ending, and the “utility” phase is beginning. In this new era, the winners will be the companies that provide the most reliable information.
By focusing on LLM accuracy, NKKTech Global is helping businesses turn AI from a risky experiment into a powerful, trustworthy asset. We ensure that when your AI speaks, it speaks the truth.
Conclusion: Don’t Settle for “Mostly” Correct
In business, accuracy is the difference between a satisfied customer and a lost lead. Whether you are looking to build an internal knowledge base or a public-facing support agent, the accuracy of your LLM should be your top priority.
NKKTech Global is ready to help you bridge the gap between AI potential and AI performance. Let’s build an AI system that your team and your customers can truly rely on.
Ready to boost your AI’s accuracy? Contact us today for a consultation and see the difference that precision makes.
Explore more about NKKTech’s AI services: Understanding the AI Workflow: Your Roadmap to Digital Transformation with NKKTech Global
About NKKTech Global
NKKTech Global is an AI and software engineering company providing enterprise AI solutions, IT staff augmentation, offshore development teams, and custom software development. Headquartered in Hanoi with a commercial office in Singapore, the company serves clients across APAC, Japan, Singapore, the United States, and Europe.
NKKTech Global
Headquarters (Hanoi): 5F, NewSkyLine Building, Lot CC2, Van Quan–Yen Phuc New Urban Area, Ha Dong Ward, Hanoi, Vietnam
Singapore Office: 18 Sin Ming Lane, #07-13, Midview City, Singapore 573960
Email: sales@nkk.com.vn
WhatsApp: (+84) 862 807 288
Website: www.nkk.com.vn
LinkedIn: https://www.linkedin.com/company/nkktech/
