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WorksheetsKiểm tra kiến thức về Machine Learning
Total questions: 20
Worksheet time: 33mins
Học sâu và mạng nơ-ron giúp máy hiểu hình ảnh phức tạp.
Deep learning and neural networks help machines understand complex images.
Deep learning and neural networks stop machines from learning new images.
Deep learning and neural networks clean the images before using them.
Tự động hóa giúp giảm công việc thủ công và cải thiện thuật toán.
Automation helps people walk and talk better with robots.
Automation writes long emails and sends them to the boss.
Automation reduces manual work and improves the algorithm.
………….we……………the algorithm before starting the next test?
Shall/ improving
Shall/ improve
What about/ improving
…………..we…………….unsupervised learning for this task first?
Could/ try
What about/ trying
Could/ trying
How about……………..neural networks for better image recognition?
using
to use
used
Read the passage and choose the correct answer to the question.
Machine learning is a powerful method where systems learn from data instead of being manually programmed. It uses supervised or unsupervised learning, algorithms, and models to make predictions. Neural networks improve their performance, but overfitting remains a concern. How about using machine learning to personalize user experiences in apps and websites by analyzing behavior and adjusting content in real time?
Question 6: What is one suggested use of machine learning in the passage?
To help users write code more efficiently.
To replace manual programming in all business software.
To personalize app and website content based on user behavior.
Read the passage and choose the correct answer to the question.
Natural Language Processing (NLP) helps machines understand and respond to human language. It's widely used in applications like chatbots, virtual assistants, and speech-to-text tools. NLP combines deep learning and massive training data to enhance accuracy. Besides, it often works with computer vision in Al systems. What about using NLP to scan long reports and generate short, clear summaries for busy professionals?
It scans and generates short summaries for quicker understanding.
It helps by highlighting every grammar mistake in the text.
It translates the reports into different languages automatically.
Grok is a smart and witty chatbot created by xAl. It uses supervised learning and huge training data to understand language and provide clever answers. It also adapts quickly using natural language processing and neural networks. Its humorous responses make it engaging for users. What about using Grok for customer service to make support more friendly, interactive, and informative?
Question 8: What makes Grok especially effective in customer service interactions?
It ignores context and relies only on pre-written answers.
It gives long technical responses that only experts understand.
It responds to questions with helpful, fast, and humorous language.
Read the passage. Decide if the statement is True or False based on the information from the text.
DeepSeek is a cutting-edge Al model known for its ability to analyze large and complex datasets. It uses unsupervised learning, neural networks, and machine learning to find patterns in data. Its predictions are often accurate because it improves with every new training cycle. Could we use DeepSeek in healthcare systems to help doctors make better and faster decisions during diagnoses?
Question 9: DeepSeek uses four types of technologies to generate predictions.
True
False
Read the passage. Decide if the statement is True or False based on the information from the text.
Grok is a smart and witty chatbot created by xAl. It uses supervised learning and huge training data to understand language and provide clever answers. It also adapts quickly using natural language processing and neural networks. Its humorous responses make it engaging for users. What about using Grok for customer service to make support more friendly, interactive, and informative?
Question 10: Grok adapts its responses using natural language processing.
True
False
Read the passage. Decide if the statement is True or False based on the information from the text.
ChatGPT is a powerful and intelligent chatbot developed using generative Al. It combines deep learning and natural language processing to produce human-like conversations. It continuously learns from large datasets and becomes smarter over time. Besides text, it supports speech-to-text interactions. Shall we apply it to our online courses to provide students with fast, personalized answers and writing suggestions anytime they need?
Question 11: ChatGPT cannot improve over time although it learns from large datasets.
True
False
Fill in the blank with TWO or THREE words from the text to complete the summary.
DeepSeek is a cutting-edge Al model known for its ability to analyze large and complex datasets. It uses unsupervised learning, neural networks, and machine learning to find patterns in data. Its predictions are often accurate because it improves with every new training cycle. Could we use DeepSeek in healthcare systems to help doctors make better and faster decisions during diagnoses?
Question 12: Summary: DeepSeek is an advanced model that analyzes large and complex datasets. It applies three technologies to discover patterns. Its predictions become more accurate with each………………….
Fill in the blank with TWO or THREE words from the text to complete the summary.
Grok is a smart and witty chatbot created by xAl. It uses supervised learning and huge training data to understand language and provide clever answers. It also adapts quickly using natural language processing and neural networks. Its humorous responses make it engaging for users. What about using Grok for customer service to make support more friendly, interactive, and informative?
Question 13: Summary: Grok uses supervised learning and large datasets to generate replies. It responds to questions with humor and adjusts quickly to new input. Its replies are powered by…………………, which makes Grok ideal for training support.
How about……………….so that the deep learning system works more efficiently? ( use/ clean/ data )
We couldn't finish the model yesterday, so shall we…………………today instead? ( continue/ data analysis )
What about…………………because the current app lacks voice recognition? ( add/ speech-to-text )
The team/ hasn't had/ by using/ creating/ generative Al?/ about/ many ideas,/ so how
the prediction/ inaccurate,/ I/ noticed/ data again?/ so could/ the training/ model/ check/ is/ you
expert/ user requests/ using/ systems/ number of/ the growing/ How about/ to manage/ efficiently?
the chatbot/ about/ before/ to users?/ the bug,/ fixed/ but what/ testing/ She
