12 Phần mềm/App trí tuệ nhân tạo AI phổ biến nhất hiện nay

15 software/App artificial intelligence AI the most popular today

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In the era of transformation of artificial intelligence (AI) is becoming a core tool to help businesses improve operational efficiency, optimize costs spurt competitiveness. If, as before, AI is considered the technology far-fetched now, series software artificial intelligence AI has been developed, bringing practical applications in management, production, business, and customer care.

On the market today there are many popular AI is widely deployed, each platform has its own strengths from data analysis, process automation to support strategic decisions. This article Lac Viet will aggregate and analyze in detail 15 software AI representative to help businesses choose the most suitable solution for the growing demand.

Comparison table synthetic 15 software artificial intelligence AI popular the most effective for business

Software AI Feature highlights Score limit Application object
Lac Viet AI
  • Support language processing, English nature (NLP) optimization; chatbot for intelligent CUSTOMER service;
  • Analyze hr data – text; integrated into the software business management;
  • The ability to customize according to the needs organization in Vietnam.
Mainly strong in English, limiting when handling multi-language; ecosystem also new. Vietnamese enterprises, administrative departments, schools need to digitize and application of artificial intelligence.
Google Vertex AI / Gemini
  • Platform AI comprehensive on Google Cloud; building, training and deploying ML;
  • BigQuery integration, AutoML, AI, student content (Gemini for NLP, image, code); support pipeline end-to-end.
Requires technical team; cost of cloud services high when extended. Big business, startup, technology, organization of big data analytics.
OpenAI (ChatGPT, API)
  • NLP strongest market; support chatbot, student, content, synopsis text, translation;
  • API for easy integration into app artificial intelligence; plugin extensions; GPT-4/4o support multi-modal (text, images, voice).
Limited custom model deep; training data, not real-time; cost API. Business multi-sector needs automation, communication, customer service, marketing.
Grok AI
  • AI conversations directly connected real-time data from X on Twitter;
  • Reply contextual social networks; personalization feedback; fast processing speed.
Limit ecosystem X; depth features, yet diverse. Business communication, marketing, organization, research, insight society.
DeepAI
  • API AI simple, cheap; support for creating images, text processing, language classification;
  • Suitable for quick test; easy to integrate into the website or app artificial intelligence small.
Basic features; not strong enough for big business; limited scalability. Startup small individual test AI, business SME's to use and fast.
IBM watsonx
  • Data analysis enhancement; NLP professional; AI adhere to legal and ethical; building models AI can verify;
  • Integrated ecosystem IBM Cloud; supports multiple industry vertical (healthcare, financial, insurance).
Complexity when deploying; high cost; require technical advice. Big business, financial institutions, medical need AI standards, transparency.
Microsoft Azure AI / Azure ML / Copilot
  • Platform integrated AI in Microsoft 365 (Copilot support Word, Excel, PowerPoint);
  • Services Azure ML to build the model; support NLP, computer vision, speech-to-text; enterprise security, high.
High cost; depend infrastructure Microsoft; deployment requires IT. Businesses have used Microsoft ecosystem, organization, medium, and large.
Anthropic Claude
  • AI conversations safety, emphasizing ethical AI; NLP high quality;
  • Control feedback to avoid bias; easy to integrate chatbot; support multiple languages.
Primarily focused NLP; yet powerful in computer vision or data science. Business customer service, organizations need chatbot AI safety compliance.
DataRobot
  • Platform AutoML allows the construction of model AI doesn't need more code; visual, drag & drop;
  • Supported data analysis to predict; the model can be deployed quickly into practice.
Enterprise high cost; custom features model limitations. Business needs AI to accelerate data analysis, marketing, retail.
H2O.ai
  • Open source; power of AutoML, deep learning; support big data; AI interpretation is (Explainable AI);
  • Suitable for research and custom pattern depth.
Need a team of highly technical; the initial learning difficulty; deploy complex. Business, data analysis, organization, R&D, technology company.
C3 AI
  • Platform AI comprehensive business; optimize the supply chain, IoT, asset management, smart manufacturing;
  • Supports AI by industry vertical (energy, oil and gas, logistics).
High investment costs; implementing long; need specialized team. Business production, energy, logistics, heavy industry.
Amazon SageMaker & AWS AI Services
  • Ecosystem ML/AI comprehensive on AWS; support training, deployment model;
  • NLP, computer vision, speech; integrated Lambda, S3, DynamoDB; suitable for application cloud-native.
Big cost when extended; depends AWS; high complexity. Global business, startup, technology, organization, cloud-first.
TensorFlow
  • Framework AI Google's open source; supports deep learning, neural networks, computer vision, NLP;
  • Community; easy to extend and deploy multi-platform (mobile, IoT).
Need programming skills high; not intuitive with new people; must be combined with other tools. Developer AI, technology companies, research institutions.
Smartgridnews
  • Platform data analysis and AI friendly; support AutoML; team collaboration between data scientist and staff are not professional;
  • Integrate with multiple data sources (Snowflake, BigQuery).
Depends on the quality of data; enterprise cost big. Business multi-industry to use AI to process everyday.
NVIDIA AI Enterprise
  • The software AI optimized for NVIDIA GPU; supports deep learning, big data, NLP, computer vision;
  • Deployed on the cloud, edge, hybrid; fit to handle the data volume is extremely large.
Depends GPU hardware; cost of infrastructure investment is high. Big business, research, science, medical, financial, manufacturing.

1. Software lacviet AI artificial intelligence

Software Chatbot AI for business – LV chatbot AI Assistant

Do you know businesses are spending a lot of money to pay for staff looking for information?

  • Of 1.8 hours per day employees spend out to search and collect information, the equivalent of 9.3 hours per week
  • Business loss 500 hours per year for employees to perform searches for information for work
  • 63% leadership said the sharing of knowledge and information internal trouble, reduce the productivity of the business

Lac Viet Chatbot AI assistant – Freeing up personnel to focus on creative work

  • Virtual assistant process – approved LV Chatbot AI for Workflow: Access quick information, content summary, revise errors on file the signed
  • Virtual assistant accountant LV Chatbot AI assistant for Finance: remove input crafts, bring the data to the correct input, automatically prompt-term LIABILITIES – PAYMENTS, cash flow forecasting, warning of financial risks
  • Virtual assistant customer care LV CareBot AI assistant: Integrated Chat on multi-platform, feedback and customer requests quickly, consulting, flexible, not being constrained by fixed script
  • Virtual assistant hr LV Chatbot AI for HXM: save 70% time for HR and leadership, extract the entire database of candidates any file format, faq auto welfare policies, rules, regulations 24/7, statistical, personnel, resources, business in few seconds.

Lạc Việt chatbot AI Assistant

SEE MORE FEATURES HERE

CONTACT INFORMATION:

Vietnam Financial AI Agent – analysis & forecast, trends, business finance

Lac Viet Financial AI Agent to solve the “anxieties” of the business

For the accounting department:
  • Reduce workload and handle end report states such as summarizing, tax settlement, budgeting.
  • Automatically generate reports, cash flow, debt collection, financial statements, details in short time.
For leaders:
  • Provide financial picture comprehensive real-time help in quick decision making
  • Support troubleshooting instant on the financial indicators, providing forecast financial strategy without waiting from the related department.
  • Warning of financial risks, suggesting solutions to optimize resources.

Financial AI Agent of Lac Viet is not only a tool of financial analysis that is also a smart assistant, help businesses understand management “health” finance in a comprehensive manner. With the possibility of automation, in-depth analysis, update real-time, this is the ideal solution to the Vietnam business process optimization, financial management, strengthen competitive advantage in the market.

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2. Software artificial intelligence OpenAI (ChatGPT and API)

OpenAI is one of the pioneers in the field of software artificial intelligence. Product highlights the most is ChatGPT, an app, artificial intelligence is millions personal/business use to support communication, content creation, automation task. In addition, OpenAI also provides API to the business directly integrated into products, services, and operating procedures.

app trí tuệ nhân tạo
ChatGPT provide natural feedback, coherent in the conversation

Description & features highlights

ChatGPT:

  • Support text editor, answer questions, translate, create innovative ideas.
  • Widely used in customer service, marketing, education, hr.

OpenAI API:

  • Allows business to integrate the ability to NLP (language processing nature) into the internal system.
  • Support custom pattern according to individual requirements of the organization.
  • Scalable to develop chatbot tools, data analysis, or systems for decision support.
Advantages Restrictions
  • Stand out in processing natural language content creation.
  • Flexible for easy integration into many different areas.
  • There are service packages for business with features user management, data security.
  • Is one of the software AI popular application of artificial intelligence, the most widely at present.
  • The high cost if you use the API in a large scale.
  • Requires strict management data to ensure security compliance.
  • Not optimal for the task characteristics, requiring businesses to fine-tune the model.

3. Google apps Vertex AI/Gemini AI

Google Vertex AI and Google Gemini are two of the popular AI currently developed by Google, play an important role in the tech ecosystem out of business. Vertex AI is comprehensive platform lets build, deploy, manage, models, machine learning as well as software artificial intelligence at scale. Meanwhile, Gemini is the generation of models AI multimodal by Google DeepMind developed, capable of handling text, images, sounds, data complex.

app trí tuệ nhân tạo
Google Assistant helps the user to perform the task daily convenience

Description & features highlights

Google Vertex AI:

  • Provides tools lifecycle management model from training, deployment, to monitoring.
  • Integrated with data services in the ecosystem, Google Cloud.
  • Support AutoML help businesses do not need in-depth technical can still deploy the model AI.

Google Gemini:

  • Is the model AI multimodal with the ability to analyze and combine multiple types of data.
  • Business support in the task content creation, data analysis, complex automation of office work.
  • Have the ability to connect deeply with the application of artificial intelligence in Google Workspace as Docs, Gmail, Sheets.
Advantages Restrictions
  • Powerful platform, reliable data, Google's technology.
  • Easy to integrate into the ecosystem availability of business.
  • Vertex AI in accordance with both the business has a team of technical strength, the company just want to take advantage of AutoML.
  • Gemini expand creative possibilities, analyze, and communicate multimedia.
  • The high cost, especially for small businesses or startups.
  • Capacity requirements certain techniques to harness the maximum Vertex AI.
  • A number of premium features yet is completely optimized for the Us market.

4. Grok AI – App AI new generation of xAI

Grok AI is the foundation artificial intelligence company, xAI of Elon Musk development, aims to provide an assistant conversation, critical thinking skills, creativity, update information in real-time.

Different to many chatbot AI traditional capital activities primarily based on training data static, Grok is designed to connect directly search from the internet, thus bringing the latest information to the user.

In addition to the ability to dialogue, natural Grok longer supports programming, writing, content creation, data analysis, special enterprise with security features, encryption and committed no use of enterprise data to train the model.

Description & features highlights

  • Grok is chatbot / AI assistant by xAI (company of Elon Musk) development, to provide the ability conversations, programming, search for information in real time (real-time search), as well as create documents, handle language & content creation.
  • The different model (for example Grok-3, Grok-4) with the possibility of reasoning, language processing/multi-modal and provides the access level higher for business
  • Security & governance: Grok for Business commitment has security level business: compliance, SOC 2, data encryption when you & transmission, “no training on your data” (no user data of the business to retrain the model) if the business requires.
Advantages Restrictions
  • Update information according to the actual (real-time), help match the application need new data, market trends, news.
  • Good communication, the ability to create content, write, code.
  • Have option business, ensuring the security level is relatively high.
  • Still new, should be stable and mature, in the integrated system may not equal the platform long life.
  • Information about the support services in English, customize according to the setup in Vietnam can restrict.
  • The issue of control over content “difficult to control / sensitivity / moral” may appear, need management skills because Grok has style “little taboo” in some cases.

5. DeepAI – software AI creative multimedia

DeepAI is one of the foundation AI first creation of the world, launching from 2016 with the goal of “democratizing” artificial intelligence, to help all individuals and organizations can approach this technology easily. Other than the AI system focuses on language, DeepAI featured in the ability to create multimedia content: from text can be photos, videos, music, even voice.

The platform provides open API, easy to integrate into the app, at the same time have a reasonable cost, consistent with startup, small business, creative groups content. The special point is DeepAI given full ownership of copyright products for users – an important factor when applied in the business environment.

Description & features highlights

  • DeepAI is the foundation AI creative (creative AI platform) born about the year 2016-2017, providing the tools, generative, such as creating images from text (text-to-image), editing photos, short video, music, chat, even voice communication.
  • There are API & tools for developers & individual users.
  • Pricing model pack Pro (~$5/month) with ad-free, higher quality.
Advantages Restrictions
  • Approach easier, cheaper price compared to the major platforms; in accordance with the small business / startup wants to experiment, create innovative content.
  • Many kinds of output: not only chat but also photos, music, videos – useful if you need creative content diversity.
  • Users copyright holder product of their creation.
  • Not sure about custom, enterprise-grade support & integrability compared with the platform AI “big” as Azure AI, AWS, Google.
  • Performance / quality when scale or handle complex data-intensive may be less than.
  • Issues such as latency, security, stability when using multiple resources can be challenging.

6. Software AI IBM watsonx

IBM watsonx is one of the popular AI developed exclusively for business. This is the foundation software artificial intelligence integrates several components including watsonx.ai (construction, deployment model AI), watsonx.data (data management) and watsonx.governance (ensuring compliance with governance).

With over a decade of experience in research, AI development, IBM has positioned watsonx as a comprehensive solution to the enterprise application deployment artificial intelligence into practice.

Phần mềm AI trí tuệ nhân tạo
IBM watsonx is one of the popular AI developed exclusively for business

Description & features highlights

  • Construction of the pattern AI: support development, training, deployment models, language (LLM), pattern machine learning.
  • Data management focus: watsonx.data allows the storage, classification, optimal data model AI with scalable flexibility.
  • Ensure compliance, and governance: watsonx.governance helps enterprises control the quality, transparency, reliability of the model, meet the legal requirements with international standards.
  • Easy integration: fit deployed along the IT system and the largest database available of the business.
Advantages Restrictions
  • Strong focus on elements of security, compliance, governance, suitable for the industry's stringent requirements such as finance, healthcare, government.
  • Provides comprehensive set of tools from data to models to help enterprise application deployment artificial intelligence throughout the process.
  • Ecosystem IBM sustainable, reputable, global support.
  • High investment costs, often in accordance with the large-scale enterprises or corporations.
  • Need technical team, qualified to deploy operate.
  • Deployment time may be extended if the infrastructure data has not been standardized.

7. Microsoft Azure AI / Azure ML / Copilot AI

Microsoft Azure AI is the software solution, artificial intelligence AI, comprehensive, located in the platform Azure cloud. This system includes many services such as Azure Cognitive Services, Azure Machine Learning and especially Microsoft 365 Copilot – the app artificial intelligence integrated in Word, Excel, Outlook, Teams.

With the strength from the Microsoft ecosystem, Azure, AI is considered one of the software artificial intelligence, the most popular, suitable for business in many areas from commissioning, customer care to analyze the data.

Description & features highlights

  • Azure Cognitive Services: provides the API for computer vision, voice recognition, language processing, natural, machine translation,chatbot.
  • Azure Machine Learning: the foundation-building, training and deploying AI/ML with scalable flexibility on the cloud.
  • Microsoft 365 Copilot: assistant, AI live in the office application, which helps create a document analysis worksheet summary, email, automation work.
  • The ability to integrate powerful: easy connection with the Microsoft tools are commonly used in business.
Advantages Restrictions
  • Deep integration with the Microsoft ecosystem, already familiar with the majority of businesses.
  • Cloud infrastructure powerful, easy to expand according to the scale used.
  • There are many tools available to help businesses quickly apply application artificial intelligence into daily work.
  • Much depends on the cloud platform can make it difficult for business requirements storing data on-premise.
  • The cost of use can be increased when scaling.
  • The problem of security and compliance need to be weighed carefully when handling sensitive data.

8. Software Anthropic Claude AI

Claude is a software artificial intelligence AI due to Anthropic development, built with the philosophy “aligned AI” – news AI is heading to the safety, transparency, reduce risk standard deviation (bias). This is one of the AI popular now, especially suited to businesses that need a support system automation but still ensure the standard of ethics and compliance.

Description & features highlights

  • Processing natural language (NLP) strong, similar to ChatGPT but be tweaked to minimize the possibility of student content misleading.
  • Easy integration in the app with artificial intelligence to serve, customer care, analytics, text analytics, document drafting.
  • Provides API for business deployment on the operating procedures.
  • Designed to control, monitor better in environmental sensitivity, such as legal, financial, medical.
Advantages Restrictions
  • Safety, transparency much higher software AI else.
  • The ability to mitigate the risk of bias and data ethics.
  • Match the business requires tightly controlled content and legal compliance.
  • Not as strong as the AI pioneer (such as OpenAI) in a number of task creation or complex analysis.
  • Cost of deployment, maintenance can be high.
  • Flexibility, the open ecosystem is still limited compared with other software, artificial intelligence, big other.

9. Software AI artificial intelligence DataRobot

DataRobot is a software platform artificial intelligence specializing in AutoML (automated machine learning) and MLOps (management life cycle models, machine learning). This is one of the popular AI was many global enterprises use to build, deploy, monitor model, artificial intelligence quickly without the need for a team of engineers AI too big.

Description & features highlights

  • Automate the entire process, from data processing, training to deploying AI.
  • Support detection, minimizing bias in the data, ensure compliance with the governance standards.
  • Provides intuitive control panel, help all who do not specialize in technique can also be used.
  • Easy integration with systems available data of the business.
Advantages Restrictions
  • Significantly shorten the construction time deployment model.
  • To help businesses leverage the application of artificial intelligence that don't need technical team too in-depth.
  • System administration strong, fit large business with high requirements to control compliance.
  • High costs, particularly with small and medium enterprises.
  • Not always suitable for the application AI is extremely customizable or in-depth research.
  • Depends on the platform DataRobot, the more difficult if the business wants to develop the model completely.

10. Software AI H2O.ai

H2O.AI is one of the software artificial intelligence, AI, open source is more business information used to build and deploy machine learning models. This is the foundation AutoML versatile, striking with the ability to handle big data, rapid deployment models, forecasts, analysis. H2O.ai is widely used in banking, insurance, retail, health care.

Description & features highlights

  • Support AutoML to help automate the selection, training, optimal model AI.
  • Integrated learning algorithm machine modern: Gradient Boosting, Deep Learning, Random Forest.
  • Scalability with big data, runs on both the environment on-premise, cloud.
  • User community library and rich open.
Advantages Restrictions
  • High performance, flexible, suitable for many fields.
  • Can take advantage of open source, reduce the cost of software license AI.
  • Community development strong, good support in the deployment.
  • Requires technical knowledge about machine learning to harness the maximum.
  • With the polar pattern or particular business needs the technical team to refine more.

11. Software artificial intelligence C3 AI

C3 AI is a software platform that artificial intelligence in the field of intensive industry, is designed to optimize manufacturing operations, asset management, supply chain, and energy. Here is the solution AI business special, stand out in the data integration IoT sensors to serve analysis, forecasting, automation.

Description & features highlights

  • Platform AI industry with the model optimization, production management, energy, supply chain.
  • Integrate data from multiple sources, including IoT, ERP sensor, industrial.
  • Provide the app artificial intelligence built for each industry: oil and gas, manufacturing, aviation, energy.
  • Scalable global scale with big data.
Advantages Restrictions
  • Focus on the unique needs of heavy industry.
  • The ability to analyze real-time data from sensors, IoT.
  • Support optimal operation and reduce production costs, increase business efficiency.
  • The cost of implementing high, is more suitable for big business.
  • Requires deployment time, long customized according to each industry.
  • Not suitable for the small and medium business needs AI general.

12. Amazon SageMaker & AWS AI Services

Amazon SageMaker is a software platform artificial intelligence AI ecosystem AWS, is designed to help construction business, coaching deploy machine learning models quickly.

Besides SageMaker, AWS also provides many services AI else as Comprehend (handle natural language), Rekognition (image recognition), Transcribe (converting speech to text) and Polly (voice synthesis). This is one of the most popular in the environment of cloud.

Description & features highlights

  • SageMaker supports the entire development life cycle model from data collection, training, evaluation to deployment.
  • The service AI built as Comprehend, Rekognition, Polly, Transcribe to help businesses quickly apps artificial intelligence into business without the need for self-development model.
  • Scalable global scale thanks to infrastructure AWS.
  • Tightly integrated with ecosystem cloud, suitable for both medium and large business.
Advantages Restrictions
  • Cloud infrastructure stable, safe, easy to extend.
  • Diverse services, businesses can choose to use built-in or self-coaching model.
  • Integrated quickly with the system data currently available.
  • Complex cost may be higher if you use more services AI at the same time.
  • At risk, “key supplier” (vendor lock-in)
  • Requires knowledge of architecture and cloud and security to maximum extraction.

13. App AI TensorFlow

TensorFlow is open source framework developed by Google, similar to PyTorch but there's ecosystem more diverse, support from research to product launch AI at scale. This is a software platform that artificial intelligence is commonly used in community development and AI is one of the popular AI for businesses that need to deploy models at the level of production.

Description & features highlights

  • Support building, coaching model AI, from simple to complex.
  • There TensorFlow Extended (TFX) to deploy models in an enterprise environment.
  • Integrate TensorFlow Lite for mobile devices, and IoT.
  • Support TensorFlow Hub with many tools available to help re-use pattern.
Advantages Restrictions
  • Rich ecosystem, suitable for all research, testing and real application.
  • Is Google backing, with regular updates and new features.
  • Multiple environment support deployment: on-premise, cloud, mobile devices.
  • High complexity, learning curve bigger than PyTorch.
  • The updated version can repeatedly cause difficulties in maintaining project.
  • Businesses need to have technical team to harness the maximum.

14. Software AI artificial intelligence Smartgridnews

Smartgridnews is one of the popular AI in the world are viewed as software platforms, artificial intelligence AI and data science comprehensive. Software AI allows both technical expert, non-expert users (business analyst) can join together to build, deploy, manage, model artificial intelligence.

With the orientation of “Everyday AI”, Smartgridnews help businesses make applications artificial intelligence into the process to operate every day in a simple way, effective.

Description & features highlights:

  • Support building, coaching deploy machine learning models (Machine Learning) that does not require the user to have programming skills in-depth.
  • Integrates many tools data processing, visualization, reporting to analyze multidimensional data.
  • Provide collaborative environment, allowing the group business, engineering with project development-on a single platform.
  • Scalable, flexible, easy to connect with the data warehouse cloud platform ecosystem software other artificial intelligence.
Advantages Restrictions
  • Intuitive interface, easy to use, even with people who do not specialize in data.
  • Strong support for the deployment of AI into practice in the business.
  • The ability to collaborate well, help synchronize the target between technical and business.
  • There are many custom features, in accordance with the diverse needs of the industry.
  • Much depends on the quality and cleanliness of input data.
  • A number of advanced features, high-cost, easy-to-create burden for small and medium enterprises.
  • Request data infrastructure relatively stable to maximize efficiency.

15. Software NVIDIA AI Enterprise

NVIDIA AI Enterprise is the software artificial intelligence, comprehensive optimized system for NVIDIA GPU, to help businesses harness the maximum power calculated in the training, deployment models AI.

This is one of the software AI are most important to the business want to develop apps artificial intelligence at scale, particularly in areas requiring capacity to handle high data such as finance, medical, manufacturing, and scientific research.

Description & features highlights:

  • Integrated tool sets AI, including deep learning, machine learning, language processing natural big data analytics.
  • Support deployment of AI on infrastructure, cloud, data center or environmental edge computing.
  • Optimized performance GPU hardware to accelerate training and inference (inference) models.
  • Supply ability security, management, technical support at the enterprise level.
Advantages Restrictions
  • Optimal processing performance, especially in accordance with the pattern AI complex, large capacity.
  • Good support for both research and implementation in an enterprise environment.
  • Scalable, flexible, easily integrated with multiple software systems, artificial intelligence and other.
  • Ecosystem strong from NVIDIA guaranteed updates the latest technology.
  • Much depends on GPU hardware from NVIDIA, can increase the cost of the initial investment.
  • Ask our technical team has the expertise to deploy operate.
  • Cost copyright, infrastructure can be a barrier to small and medium enterprises.

Here are the top 15 software AI artificial intelligence popular highlights for the year 2025. AI technology has opened a new page in human history thanks to the wisdom of the man-made. The catch up the trend of the technology, the application AI in fact will help improve the quality of life, increase work performance.

CONTACT INFORMATION:

  • Lac Viet Computing Corporation
  • Hotline: (+84.28) 3842 3333
  • Email: info@lacviet.vn – Website: www.lacviet.vn
  • Headquarters: 23 Nguyen Thi Huynh, P. 8, Q. Phu Nhuan, Ho Chi Minh city
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