Aiforkids - Recent questions and answers in Artificial Intelligence

What is machine learning solution?

Tue, 10 Feb 2026 09:40:12 +0000

i want to know more about machine learning solutions and problems it deals.

Answered: 1. What is the purpose of defining the problem statement during the Problem Scoping stage in an AI project cycle? A) To collect data B) To understand the aim and objective of the project C) To train the model D) To process data

Fri, 16 Jan 2026 04:30:00 +0000

Ans. B)

To understand the aim and objective of the project

Answered: _____ is not a Learning-based Approach where the AI model gets trained on the data fed to it and then is able to design a model which is adaptive to the change in data.

Wed, 12 Mar 2025 02:12:53 +0000

(d) Enforcement Learning

Explanation

Supervised Learning: This is a learning-based approach where the AI model is trained on a labeled dataset. The model learns to map inputs to outputs based on those labels and can adapt as it sees more data.
Unsupervised Learning: In this approach, the model finds patterns or structures in data that is not labeled. It also qualifies as a learning-based method since the model adapts based on the data’s inherent structure.
Reinforcement Learning: This is another learning-based approach where the model learns by interacting with an environment and receiving rewards or punishments. Over time, it adapts its behavior to maximize rewards.
Enforcement Learning: Unlike the above, "Enforcement Learning" is not a recognized method in the AI or machine learning domain. It is likely a distractor in this question. As such, it does not represent a valid learning-based approach where the model adapts based on data or feedback.

Thus, Enforcement Learning is the one that is not a learning-based approach.

Answered: Artificial Intelligence 2025 Board Exams Revision Plan

Mon, 10 Mar 2025 11:31:47 +0000

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Answered: Problem scoping is the stage where

Thu, 26 Sep 2024 01:35:56 +0000

1. The problem can be identified and goals can be set

Answered: AI Answer Key and Paper Solution 2024 Set 4

Wed, 13 Mar 2024 07:13:42 +0000

Artificial Intelligence Class 10 2024 Answer Key SET 4

Answered: Face of ai Ai Domin

Tue, 12 Mar 2024 14:21:31 +0000

are are you asking the major domain of an ai or wt are the domains of then ai ! if are asking the domains then there are three domains

1)NLP

2) cv

3) data science

Answered: Give an example where High Accuracy is not usable.

Fri, 08 Mar 2024 12:31:23 +0000

Let us go back to the Forest Fire example. Assume that the model always predicts that there is no fire.

But in reality, there is a 2% chance of forest fire breaking out. In this case, for 98 cases, the model will be right but for those 2 cases in which there was a forest fire, then too the model predicted no fire.

Here,

True Positives = 0
True Negatives = 98
Total cases = 100
Therefore, accuracy becomes: (98 + 0) / 100 = 98%

This is a fairly high accuracy for an AI model.

But this parameter is useless for us as the actual cases where the fire broke out are not taken into account.

Hence, there is a need to look at another parameter which takes account of such cases as well known as precision.

Study more about Evaluation at Evaluation Class 10

Answered: what is mercury

Tue, 05 Mar 2024 06:29:17 +0000

Mercury is a thermometric liquid used in a thermometer.
It is used due to it conducts heat so when there is heat in the surrounding nature It will expand and show the temperature.
Alcohol can be also used as a thermometric liquid

Answered: AI Revision for Class 10 2024 Board Exam in One Day

Tue, 05 Mar 2024 05:59:12 +0000

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This allows you to assess your progress and identify any areas that may require further review. With our videos, you can feel confident and well-prepared for the Class 10 2024 Board Exam, knowing that you have utilized the most effective and efficient study resource available.

Answered: please refer a QUESTION BANK and SAMPLE PAPER book for 2023-24

Tue, 06 Feb 2024 08:55:55 +0000

Hello,
You can Access Set of Sample Papers from Aiforkids Telegram (https://t.me/aiforkids)

Answered: Sagar is collecting data from social media platforms. He collected a large amount of data. but he wants specific information from it. Which NLP application would help him?

Tue, 08 Aug 2023 09:50:40 +0000

NLP applications are designed to understand and process human language, enabling them to perform tasks like text summarization, sentiment analysis, named entity recognition, topic modeling, and more.

By employing the right NLP techniques, Sagar can efficiently extract the information he needs from the collected data.

Answered: Having a conversation with more than two people is a type of ______________ communication.

Tue, 25 Jul 2023 10:32:53 +0000

Opt. C - SMALL GROUP COMMUNICATION

Answered: Give some examples of AI Bias

Wed, 12 Jul 2023 10:30:16 +0000

‍1. Amazon’s algorithm discriminated against women:

Employment is one of the most common areas for bias to manifest in modern life. Despite progress over the past couple of decades, women are still underrepresented in roles relating to STEM (science, technology, engineering and mathematics). According to Deloitte, for example, women accounted for less than a quarter of technical roles in 2020.

That wasn’t helped by Amazon’s automated recruitment system, which was intended to evaluate applicants based on their suitability for various roles. The system learned how to judge if someone was suitable for a role by looking at resumes from previous candidates. Sadly, it became biased against women in the process.

Because women had previously been underrepresented in technical roles, the AI system thought that male applicants were consciously preferred. Consequently, it penalized resumes from female applicants with a lower rating. Despite making changes, it was no surprise that Amazon eventually ditched the initiative in 2017.

2. COMPAS race bias with reoffending rates:

It’s not just gender bias that can be reflected by artificial intelligence. There are several AI bias examples relating to race too.

The Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) predicted the likelihood that US criminals would re-offend. In 2016, ProPublica investigated COMPAS and found that the system was far more likely to say black defendants were at risk of reoffending than their white counterparts.

While it correctly predicted reoffending at a rate of around 60% for both black and white defendants, COMPAS:

Misclassified almost twice as many black defendants (45%) as higher risk compared to white defendants (23%)
Mistakenly labeled more white defendants as low risk, who then went on to reoffend – 48% white defendants compared to 28% black defendants
Classified black defendants as higher risk when all other variables (such as prior crimes, age, and gender) were controlled – 77% more likely than white defendants.

3. US healthcare algorithm underestimated black patients’ needs:

AI can also reflect racial prejudices in healthcare, which was the case for an algorithm used by US hospitals. Used for over 200 million people, the algorithm was designed to predict which patients needed extra medical care. It analyzed their healthcare cost history – assuming that cost indicates a person’s healthcare needs.

However, that assumption didn’t account for the different ways in which black and white patients pay for healthcare. A 2019 paper in Science explains how black patients are more likely to pay for active interventions like emergency hospital visits – despite showing signs of uncontrolled illnesses.

As a result, black patients:

Received lower risk scores than their white counterparts
Were put on par with healthier white people in terms of costs
Did not qualify for extra care as much as white patients with the same needs

4. ChatBot Tay shared discriminatory tweets:

While Twitter has made recent headlines due to Elon Musk’s acquisition, Microsoft’s attempt to showcase a chatbot on the platform was even more controversial.

In 2016, they launched Tay, intended to learn from its casual, playful conversations with other users of the app.

Initially, Microsoft noted how “relevant public data” would be “modeled, cleaned and filtered”. However, within 24 hours, the chatbot was sharing tweets that were racist, transphobic and antisemitic. It learned discriminatory behavior from its interactions with users, many of whom were feeding it inflammatory messages.

Answered: Class 10: AI Answer Key / Paper Solution in 10 MINS

Mon, 13 Mar 2023 07:20:34 +0000

Click the Image Below to Open YouTube Solution <33

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Answered: Samiksha, a student of class X was exploring the Natural Language Processing domain.

Sun, 12 Mar 2023 03:42:32 +0000

TEXT NORMALIZATION

TOKNEISATION : Akash, and, Ajay, are, best, friends, Akash, likes, to, play, football, but, Ajay, prefers, to, play, online ,games

REMOVAL OF STOPWORDS

Akash, Ajay, best, friends, Akash, likes, play, football, Ajay, prefers, play, online, games

Converting text to common case

akash, ajay, best,friends,akash,likes,,play,football,ajay,prefers,online,games
STEMMING

akash, ajay,best,friend,akash,like,play,football,ajay,prefers,online,games

LEMMATIZATION

akash, ajay,best,friend,akash,like,play,football,ajay,prefers,online,games

Answered: Saurabh is working on NLP based project. He wanted to know about the concept where the entire corpus is being divided into sentences. Help hip and explain the concept.

Sun, 12 Mar 2023 01:34:47 +0000

This is done under Sentence segmentation, where the whole corpus is reduced into sentences

Answered: Ayushi was learning about NLP. She wanted to know the term used for the whole textual data from all the documents altogether. Help her in identifying the term used for it.

Sun, 12 Mar 2023 01:33:03 +0000

ANSWER = CORPUS

Answered: 9. Document 1: Amit and Amita are twins Document 2: Amit lives with his grandparents in Shimla. Document 3: Amita lives with her parents in Delhi. Create a step-by-step approach to implement a bag of words algorithm.

Fri, 10 Mar 2023 09:56:20 +0000

The bag of words algorithm is a popular approach used in natural language processing to represent text data as a set of features or vectors that can be used in machine learning models. Here are the steps to implement the bag of words algorithm:

Collect the text documents you want to analyze. In this case, we have three documents about Amit and Amita.
Preprocess the text data by removing stop words, punctuation, and other irrelevant information. For example, we can remove "and" and "are" from Document 1, as they do not contribute to the meaning.
Tokenize the text data into individual words or terms. For example, we can tokenize Document 2 into "Amit", "lives", "with", "his", "grandparents", "in", and "Shimla".
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Answered: Search engines not only predict what popular searches may apply to your query as

Fri, 10 Mar 2023 09:52:18 +0000

(C)NATURAL LANGUAGE PROCESSING

Answered: Identify the type of chatbot with the information given below:

Mon, 06 Mar 2023 01:58:15 +0000

Script Bot

These bots work on pre-programmed instructions inside the application/machine and are generally easy to develop.
They are deployed in the customer care section of various companies.
Their job is to answer some basic queries that they are coded for and connect them to human executives once they are unable to handle the conversation.

Learn more at NLP Class 10 Video Lecture

Answered: Which of the following is the type of data used by NLP applications?

Mon, 06 Mar 2023 01:56:19 +0000

option d ) text and speech

Answered: _____ helps in assigning a predefined category to a document, organize it in such a way that helps customers to find information they want.

Mon, 06 Mar 2023 01:53:58 +0000

Text Classification is the answer

Answered: A corpus contains 12 documents. How many document vectors will be there for that corpus?

Mon, 06 Mar 2023 01:50:59 +0000

a)12 is the correct option.

Answered: Classify the following into Smart bot or Script bot accordingly?

Sun, 05 Mar 2023 12:13:02 +0000

There are two types of chatbots: Smart bots and Script bots.

Smart Bots:

Use AI and NLP to generate responses and improve over time.
Examples: Mitsuku Bot, Clever Bot, Jabberwacky, Haptik, and Rose.

Script Bots:

Use pre-programmed scripts for responses.
An example of a script bot is OChatbot, which relies on predetermined responses based on the script it is programmed with.

Learn more about NLP and smart bots here:

NLP NOTES: https://aiforkids.in/class-10/nlp/
NLP ChatBot notes: https://aiforkids.in/class-10/nlp/#chatbots
NLP Video : https://www.youtube.com/watch?v=9jvuleVQWyE

Answered: What will be the results of conversion of the term, ‘happily’ in the process of stemming and lemmatization? Which process takes longer time for execution?

Sun, 05 Mar 2023 10:03:00 +0000

Word	Stemming	Lemmatization
Happily	happi	happy

Process that takes longer time for execution is lemmatization, because the word generated (lemma) is a meaning full word, and doing that needs high level processing.

(½ marks each for identifying the correct stem and lemma; 1 mark for identifying the correct process)

Learn more about Bag of Words at NLP NLP Processing Class 10

Answered: What do we get from the “bag of words'' algorithm?

Sun, 05 Mar 2023 09:24:24 +0000

Bag of words gives us two things:

A vocabulary of words for the corpus
The frequency of these words (number of times it has occurred in the whole corpus)

Learn more about Bag of Words at NLP Bag of Words Class 10

Answered: i) How could you classify the system to solve this problem? ii) Create a 4W Project Canvas for this purpose.

Thu, 23 Feb 2023 00:55:02 +0000

Solution :

i) How could you classify the system to solve this problem?

Conduct a review of past support tickets to identify common issues and categorize them according to the proposed criteria
Develop clear guidelines and examples for each category of ticket
Work with the ticket management system provider to implement the necessary changes and prompts to ensure proper categorization of tickets
Train support team members and users on the new categorization criteria and ticket submission process.

ii) Create a 4W Project Canvas for this purpose

Who:

IT company's support team and ticket system users

What:

Establishing clear criteria and guidelines for categorizing support tickets into Urgent, Important, and Business as Usual
Implementing a ticket management system that prompts users to select the appropriate category when submitting a support ticket

Why:

To improve response time and ensure proper prioritization of support tickets based on their impact on business operations

Where:

Within the IT company's support team and ticket management system

When:

Within the next 3 months

Read More about 4ws at : https://aiforkids.in/qa/97/what-are-4ws

Answered: How to Use ChatGPT: A Step-by-Step Guide with Code Examples

Sat, 14 Jan 2023 12:02:07 +0000

Introduction to ChatGPT: A Comprehensive Guide

ChatGPT is a powerful language model developed by OpenAI that allows users to generate human-like text. It can be used for a variety of tasks such as:

Chatbot development
Language translation
Text summarization
Content generation
Question answering
And more...

In this guide, we will go through the steps of using ChatGPT to generate text, including how to access the API, send requests, and handle responses.

Step 1: Accessing the API

To use ChatGPT, you will first need to access the API endpoint. You can either use the public endpoint provided by OpenAI or host the model on your own infrastructure. The public endpoint can be accessed by signing up for an API key on the OpenAI website.

Once you have your API key, you can use it to access the API endpoint, which is available at the following URL: https://api.openai.com/v1/engines/davinci/completions

Step 2: Sending a Request to the API

Once you have access to the API endpoint, you can send a POST request to generate text. The request body should contain the following parameters:

prompt: The text prompt to generate text for
model: The model to use (e.g. "text-davinci-002")
length: The number of tokens to generate
api_key: Your API key

Here's an example of what a request to the API might look like:

Step 3: Handling the Response

The API will return a JSON object containing the generated text. The generated text can be accessed by calling the "generated_text" property on the returned JSON object. Example:

Additional Resources

For more information on using ChatGPT, you can refer to the API documentation provided by OpenAI. Additionally, for more advanced use cases, you can also use the OpenAI SDK which allows you to interact with the model in a more programmatic way. The SDK provides a high-level interface for working with the API, making it easier to integrate the model into your application. You can find more information and installation instructions on the OpenAI SDK Github page.

Another useful resource is the OpenAI API reference documentation, which provides detailed information on the different parameters and options available when making requests to the API.

You can also check the OpenAI blog for more tutorials and examples of using the model. They have many interesting use cases and real-world examples of how the model can be used to generate text and make it easier to interact with the model.

In conclusion, ChatGPT is a powerful language model developed by OpenAI that allows users to generate human-like text, it can be used for a variety of tasks such as chatbot development, language translation, text summarization, content generation, question answering and more, and it is easy to use and integrates well with other tools and services, making it a great option for experimenting with the model.

Here are a few links to resources that you might find helpful when working with ChatGPT:

ChatGPT API documentation - provides detailed information on how to use the API to generate text with ChatGPT
OpenAI SDK - a high-level interface for working with the API, making it easier to integrate the model into your application
OpenAI API reference documentation - provides detailed information on the different parameters and options available when making requests to the API
OpenAI blog - check out the OpenAI blog for more tutorials and examples of using the model
OpenAI website - sign up for an API key on the OpenAI website to access the public endpoint

These links can provide you additional information and resources that can help you understand and use the model more efficiently.

Answered: Common errors that users may encounter while using ChatGPT

Thu, 12 Jan 2023 14:19:49 +0000

Here are detailed solutions for the common errors that users may encounter while using ChatGPT:

1. Data quality issues:

Use a large, diverse, and high-quality dataset to fine-tune the model.
Pre-process the data to remove any biases or inaccuracies.
Verify the quality of the data by manually checking a sample of the data and correct any errors found.

2. Overfitting:

Use a large and diverse dataset to fine-tune the model
Implement techniques such as early stopping, dropout, and regularization to prevent overfitting

3. Poor performance on rare or out-of-vocabulary words:

Use techniques such as sub-word tokenization or character-level models
Use pre-trained models that have been trained on a large corpus of text and fine-tuned on a specific task

4. Limited context understanding:

Use techniques such as bidirectional models or transformer-based models that can take into account the context of a prompt
Use pre-trained models that have been trained on a large corpus of text and fine-tuned on a specific task

5. Computational resources:

Use cloud-based services or specialized hardware such as Graphics Processing Units (GPUs) or Tensor Processing Units (TPUs) to handle the computational requirements

6. Interpretability:

Use techniques such as attention maps and visualization tools to better understand how the model is making its decisions.
Use explainable AI techniques like LIME (Local Interpretable Model-Agnostic Explanations)

7. Limited Language support:

Use pre-trained models that have been trained on a large corpus of text in the specific language you're targeting
Fine-tune the model on a dataset of text in the specific language you're targeting

Please note that these are general solutions to the common errors that users may encounter while using ChatGPT, and it may not be applicable to every specific use case.

Answered: Most Important FAQs Regarding AI Chat GPT

Thu, 12 Jan 2023 14:13:33 +0000

What is ChatGPT?

ChatGPT is a large language model developed by OpenAI that can generate human-like text. It is based on the GPT (Generative Pre-trained Transformer) architecture and has been trained on a massive amount of text data.

How does ChatGPT work?

ChatGPT uses a deep neural network with a transformer architecture to generate text. It takes in a prompt, or a starting text, and generates a response based on the patterns it learned during training. The model is pre-trained on a large dataset and fine-tuned on specific task-related data.

What are the main features of ChatGPT?

Generates human-like text
Can be fine-tuned for specific tasks
Can be used for applications such as language translation, question answering, and text summarization.
Can generate text in many languages.

What are the advantages of using ChatGPT?

Can reduce the amount of manual work required for text generation tasks
Can be used to generate large amounts of text quickly
Can improve the accuracy of text generation tasks
Can be used to generate more natural-sounding text than rule-based systems

What are the limitations of using ChatGPT?

Can generate biased or incorrect text if it has learned biases from the training data
Can generate text that is not coherent or meaningful if the prompt is not well-formed
Can be computationally expensive to run, requiring a powerful GPU or TPU
Can be difficult to interpret the reasoning behind its generated text.

Answered: Write 4w canvas for problem pollution

Thu, 12 Jan 2023 14:04:40 +0000

The 4W Canvas is a framework that helps to break down a problem into its key components. Here's an example of how it can be applied to the problem of pollution:

What: Pollution is the presence or introduction into the environment of a substance or thing that has harmful or poisonous effects.

Who: Pollution affects everyone, but it disproportionately affects marginalized communities, low-income individuals, and people living in urban areas. It also affects different species of animals and plants.

Where: Pollution can occur in any environment, including air, water, soil, and the built environment. It can also happen in both urban and rural areas.

Why: Pollution is caused by human activities such as industrial processes, transportation, and energy production. It also results from natural events like volcanic eruptions and wildfires.

How: To address pollution, we can take actions such as:

Reducing our use of fossil fuels
Encouraging the use of renewable energy sources
Improving public transportation
Implementing regulations and laws to limit the amount of pollution that businesses and industries can produce
Promoting recycling and waste reduction
Educating the public about pollution and how to reduce their impact.

This 4W Canvas is a framework to look at the problem of pollution, and it can help to identify the main components of the problem and potential solutions.

Answered: Identify the stage of AI ptoject cycle- in this stage, data from multiple sources are collected, cleared and aggregated in sutiable format and normalized

Thu, 12 Jan 2023 13:59:41 +0000

B) Data Acquisition

Data acquisition is the stage in the AI project cycle where data from multiple sources is collected, cleared and aggregated in a suitable format and normalized.
This is an important step as the quality and quantity of data will greatly impact the performance and accuracy of the AI models developed in later stages of the project.
Data can be collected from a variety of sources such as databases, sensors, and external sources such as social media or publicly available datasets.
This data must be cleaned and preprocessed to ensure that it is in a format that can be used by the AI models in the next stages.

Study more about Data acquisition at Data Acquisition Class10

Answered: 9. Document 1: Amit and Amita are twins Document 2: Amit lives with his grandparents in Shimla. Document 3: Amita lives with her parents in Delhi. Create a step-by-step approach to implement a bag of words algorithm.

Thu, 12 Jan 2023 13:43:54 +0000

Step-by-step approach to implement a bag of words algorithm

Step 1: Create document vectors for the given documents (Term Frequency Table)

Document	amit	and	amita	are	twins	lives	with	his	grandparents	in	shimla	her	parents	delhi
Document 1	0	1	1	1	1	0	0	0	0	0	0	0	0	0
Document 2	1	0	0	0	0	1	1	1	1	1	1	0	0	0
Document 3	0	0	1	0	0	1	1	0	0	1	0	1	1	1

Step 2: Record the occurrence of the word in the document using term frequency table (Document Frequency Table)

Word	Document 1	Document 2	Document 3
amit	1	1	0
and	1	0	0
amita	1	0	1
are	1	0	0
twins	1	0	0
lives	0	1	1
with	0	1	1
his	0	1	0
grandparents	0	1	0
in	0	1	1
shimla	0	1	0
her	0	0	1
parents	0	0	1
delhi	0	0	1

Step 3: Draw the inverse document frequency table

Word	Document Frequency (df)	Inverse Document Frequency (IDF)
amit	2	log(3/2)
and	1	log(3/1)
amita	2	log(3/2)
are	1	log(3/1)
twins	1	log(3/1)
lives	2	log(3/2)
with	2	log(3/2)
his	1	log(3/1)
grandparents	1	log(3/1)
in	2	log(3/2)
shimla	1	log(3/1)
her	1	log(3/1)
parents	1	log(3/1)
delhi	1	log(3/1)

Step 4: The formula of TFIDF for any word W becomes: TFIDF(W) = TF(W) * log (IDF(W))

For example, for the word "amit" in Document 2:

TF(W) = 1 (occurs once in the document)
IDF(W) = log(3/2) (occurs in 2 out of 3 documents)
TFIDF(W) = 1 * log(3/2) = 0.176

Similarly, you can calculate the TF-IDF values for all the words in the documents.

Note that the term frequency table, document frequency table, and inverse document frequency table are all tables that are used

Answered: How many types of dataset available in AI? Class 9

Thu, 12 Jan 2023 13:40:58 +0000

The dataset is divided into two types.

A. Training dataset – A subset required to train the model

A training dataset is an extensive collection of data that is used to teach a machine learning model.
Machine learning algorithms are trained to make decisions or complete tasks through training datasets.
The majority of the dataset is made up of training data.

B. Test dataset – A subset required while testing the trained the model

Test data is data that has been clearly identified for use in testing, usually of a computer program.
20% of the data utilized in the tests

Study More about Data Sets at - DataSets Class 9

what is evaluation

Wed, 11 Jan 2023 09:14:30 +0000

what is evaluation? what are its terminologies?

Answered: Which block of 4ws problem canvas focuses on the context/situation/location of the problem?

Wed, 11 Jan 2023 09:14:28 +0000

WHERE block of 4W canvas focuses on the problem that arises (context), situation and location.

The 4W's of Problem Scoping are Who, What, Where and Why. This Ws helps in identifying and understanding the problem in a better and more efficient manner.

Who - "Who" part helps us in comprehend and categorize who is affected directly and indirectly by the problem and who are called the Stake Holders
What - "What" part helps us understand and identify the nature of the problem and how we get to know what helps to get us to know the evidence.
Where - "Where" does the problem arises (context), situation and the location?
Why - "Why" is the given problem worth solving and tells about benefits to the stakeholders.

Answered: ________ is the performance measurement for machine learning classification problem where output can be 2 or more classes.

Sun, 08 Jan 2023 05:29:47 +0000

Confusion Matrix is the performance measurement for machine learning classification problem where output can be 2 or more classes.

Explanation:

There are a number of different performance measures that can be used to evaluate the performance of a classification model on a multiclass classification problem, where the output can take on two or more classes, they all together are called confusion matrix. Some common measures include:

Accuracy: This is the most common evaluation metric for classification problems. It is the proportion of correct predictions made by the model, with respect to the total number of predictions.
Precision: This is the proportion of true positive predictions made by the model, with respect to all positive predictions made by the model.
Recall: This is the proportion of true positive predictions made by the model, with respect to all actual positive instances in the dataset.
F1 Score: This is the harmonic mean of precision and recall. It is a good metric to use when you want to balance precision and recall.

Read More about Confusion Matrix: Confusion Matrix Class 10

Answered: What is tokenization? Count how many tokens are present in the following statement: I find that the harder I work, the more luck I seems to have.

Sat, 31 Dec 2022 08:54:05 +0000

Tokenization is the process of breaking a piece of text into smaller units called tokens. These tokens can be words, punctuation marks, or other types of characters. Tokenization is an important step in many natural language processing tasks, such as text classification and machine translation, because it allows the computer to more easily process and analyze the text.

In the statement "I find that the harder I work, the more luck I seems to have," there are 11 tokens. There are eight words ("I", "find", "that", "the", "harder", "I", "work", "the") and three punctuation marks (" ", ",", " ").

Answered: Number of tokens in this sentence - I find that the harder I work, the more luck I seem to have

Sat, 31 Dec 2022 08:53:19 +0000

There are 11 tokens in the sentence "I find that the harder I work, the more luck I seem to have."

In the context of natural language processing, a token is a unit of text that is typically defined as either a word or punctuation mark. In this sentence, there are eight words ("I", "find", "that", "the", "harder", "I", "work", "the") and three punctuation marks (" ", ",", " "). Therefore, there are a total of 11 tokens.

Answered: __ and are AI based applications that help us in navigation.

Sat, 31 Dec 2022 08:52:25 +0000

There are many AI-based applications that can help with navigation, but two examples are GPS (Global Positioning System) and Waze.

GPS is a satellite-based navigation system that allows users to determine their exact location and track their movements. It can be used for a variety of navigation purposes, such as driving directions, hiking trails, and tracking fitness activities.

Waze is a navigation app that uses real-time traffic data and user-reported information to provide the quickest route to a destination. It also includes features such as alerts for accidents, police speed traps, and other potential road hazards.

Answered: Out of 60 pictures of tiger cubs and kittens, of which 45 were kitten, how many tiger cubs must be model identify correctly along with 35 kitten images correctly identified so that the accuracy is more than75%?

Sat, 31 Dec 2022 08:50:50 +0000

To determine the number of tiger cubs that must be correctly identified, we need to set up an equation that represents the condition that the accuracy must be more than 75%. The accuracy is calculated as the number of correctly identified images divided by the total number of images.

In this case, the total number of images is 60, and the number of correctly identified images is 35 kittens plus the number of correctly identified tiger cubs. We can represent this as the equation:

(35 + tiger cubs) / 60 > 0.75

To solve for the number of tiger cubs, we can multiply both sides of the equation by 60 and simplify:

35 + tiger cubs > 45

Subtracting 35 from both sides gives us:

tiger cubs > 10

So, to achieve an accuracy of more than 75%, the model must correctly identify at least 11 tiger cubs.

Answered: What is tokenization? Count how many tokens are present in the following statement: I find that the harder I work, the more luck I seems to have.

Sat, 31 Dec 2022 07:22:29 +0000

Tokenization is the process of breaking down a larger piece of text into smaller units, called tokens. These tokens can be individual words, phrases, symbols, or even subwords.

In the given statement, "I find that the harder I work, the more luck I seems to have," there are 15 tokens. The individual tokens are: "I," "find," "that," "the," "harder," "I," "work," "," "the," "more," "luck," "I," "seems," and "to," "have."

It's worth noting that the tokenization process can vary depending on the specific language and the intended use of the tokens. For example, in natural language processing tasks, it is common to treat punctuation marks as separate tokens, while in other contexts they may be grouped with the adjacent words.

Answered: Perfect definition of ai is?

Sat, 24 Dec 2022 08:53:48 +0000

"Artificial Intelligence (AI) refers to the ability of machines to perform cognitive tasks like thinking, perceiving, learning, problem solving and decision making."

-CBSE Facilitator

Answered: The ___________ is second stage of AI project cycle.

Sat, 24 Dec 2022 08:33:11 +0000

the second stage of the AI project cycle is Data acquisition is the process of gathering accurate and reliable data to work with. Text, video, photographs, audio, and other types of data can be acquired from a variety of sources, including websites, journals, and newspapers.

What is an external hard disk?

Sun, 10 Jul 2022 11:22:10 +0000

What is an external hard disk?

Topic	ICT Skills
Type	Short answer
Class	10

What are the capacities of a pen drive?

Sun, 10 Jul 2022 11:02:13 +0000

What are the capacities of a pen drive?

Topic	ICT Skills
Type	Short answer
Class	10

What is a pen drive?

Fri, 08 Jul 2022 10:35:37 +0000

What is a pen drive?

Topic	ICT Skills
Type	Short answer
Class	10

How much data a CD and DVD can hold?

Fri, 08 Jul 2022 10:33:59 +0000

How much data a CD and DVD can hold?

Topic	ICT Skills
Type	Short answer
Class	10

What are the variations of CDs?

Fri, 08 Jul 2022 10:29:35 +0000

What are the variations of CDs?

Topic	ICT Skills
Type	Short answer
Class	10

Aiforkids - Recent questions and answers in Artificial Intelligence

What is machine learning solution?

Answered: 1. What is the purpose of defining the problem statement during the Problem Scoping stage in an AI project cycle? A) To collect data B) To understand the aim and objective of the project C) To train the model D) To process data

Answered: _____ is not a Learning-based Approach where the AI model gets trained on the data fed to it and then is able to design a model which is adaptive to the change in data.

Explanation

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Answered: Sagar is collecting data from social media platforms. He collected a large amount of data. but he wants specific information from it. Which NLP application would help him?

Answered: Having a conversation with more than two people is a type of ______________ communication.

Opt. C - SMALL GROUP COMMUNICATION

Answered: Give some examples of AI Bias

‍1. Amazon’s algorithm discriminated against women:

2. COMPAS race bias with reoffending rates:

3. US healthcare algorithm underestimated black patients’ needs:

4. ChatBot Tay shared discriminatory tweets:

Answered: Class 10: AI Answer Key / Paper Solution in 10 MINS

Answered: Samiksha, a student of class X was exploring the Natural Language Processing domain.

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Answered: Ayushi was learning about NLP. She wanted to know the term used for the whole textual data from all the documents altogether. Help her in identifying the term used for it.

Answered: 9. Document 1: Amit and Amita are twins Document 2: Amit lives with his grandparents in Shimla. Document 3: Amita lives with her parents in Delhi. Create a step-by-step approach to implement a bag of words algorithm.

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Answered: Identify the type of chatbot with the information given below:

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Answered: _____ helps in assigning a predefined category to a document, organize it in such a way that helps customers to find information they want.

Answered: A corpus contains 12 documents. How many document vectors will be there for that corpus?

Answered: Classify the following into Smart bot or Script bot accordingly?

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Answered: i) How could you classify the system to solve this problem? ii) Create a 4W Project Canvas for this purpose.

Answered: How to Use ChatGPT: A Step-by-Step Guide with Code Examples

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Answered: Identify the stage of AI ptoject cycle- in this stage, data from multiple sources are collected, cleared and aggregated in sutiable format and normalized

Answered: 9. Document 1: Amit and Amita are twins Document 2: Amit lives with his grandparents in Shimla. Document 3: Amita lives with her parents in Delhi. Create a step-by-step approach to implement a bag of words algorithm.

Answered: How many types of dataset available in AI? Class 9

what is evaluation

Answered: Which block of 4ws problem canvas focuses on the context/situation/location of the problem?

Answered: ________ is the performance measurement for machine learning classification problem where output can be 2 or more classes.

Answered: What is tokenization? Count how many tokens are present in the following statement: I find that the harder I work, the more luck I seems to have.

Answered: Number of tokens in this sentence - I find that the harder I work, the more luck I seem to have

Answered: ____________ and __________ are AI based applications that help us in navigation.

Answered: Out of 60 pictures of tiger cubs and kittens, of which 45 were kitten, how many tiger cubs must be model identify correctly along with 35 kitten images correctly identified so that the accuracy is more than75%?

Answered: What is tokenization? Count how many tokens are present in the following statement: I find that the harder I work, the more luck I seems to have.

Answered: Perfect definition of ai is?

Answered: The ___________ is second stage of AI project cycle.

What is an external hard disk?

What are the capacities of a pen drive?

What is a pen drive?

How much data a CD and DVD can hold?

What are the variations of CDs?

Answered: __ and are AI based applications that help us in navigation.