Lec-1-2 Generative AI and NLP
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Questions and Answers

Natural Language Processing is a subfield of Generative AI.

False

All robotics systems are considered intelligent in the same sense as human intelligence.

False

Generative AI techniques can be used outside of NLP for tasks like image generation and music composition.

True

Ethical considerations in AI are only relevant in high-stakes applications such as healthcare and criminal justice.

<p>False</p> Signup and view all the answers

AI algorithms can only inherit biases from the data they are trained on if the data is intentionally biased.

<p>False</p> Signup and view all the answers

Transparency in AI decision-making processes is only necessary in applications where human life is at risk.

<p>False</p> Signup and view all the answers

Generative AI is a subfield of Natural Language Processing.

<p>False</p> Signup and view all the answers

Robotics is a subfield of Artificial General Intelligence.

<p>False</p> Signup and view all the answers

Machine Learning is a superset of Artificial Intelligence.

<p>False</p> Signup and view all the answers

Currently, there are existing examples of Strong AI.

<p>False</p> Signup and view all the answers

Supervised Machine Learning involves training models on unlabeled data.

<p>False</p> Signup and view all the answers

Pattern Recognition is a superset of Machine Learning.

<p>False</p> Signup and view all the answers

Arthur Samuel is the founder of Artificial Intelligence.

<p>False</p> Signup and view all the answers

Regression in Machine Learning involves predicting categorical values.

<p>False</p> Signup and view all the answers

Machine Learning gives computers the ability to learn without being explicitly programmed.

<p>True</p> Signup and view all the answers

Strong AI is already widely used in many industries.

<p>False</p> Signup and view all the answers

Machine learning is a type of narrow AI.

<p>True</p> Signup and view all the answers

Unsupervised learning is a type of machine learning where the machine is provided with labeled data.

<p>False</p> Signup and view all the answers

Natural Language Processing (NLP) is a type of machine learning.

<p>True</p> Signup and view all the answers

Artificial intelligence is a simulation of human intelligence done by humans.

<p>False</p> Signup and view all the answers

Neural networks are a type of supervised learning algorithm.

<p>True</p> Signup and view all the answers

Reinforcement learning is a type of unsupervised learning.

<p>False</p> Signup and view all the answers

Self-driving cars are an example of general AI.

<p>False</p> Signup and view all the answers

All AI systems built till date fall under the category of narrow AI.

<p>True</p> Signup and view all the answers

Study Notes

Generative AI

  • Focuses on the creation of new data or content across various modalities
  • Can be used within NLP for tasks like text generation, language modeling, and dialogue generation in conversational AI systems

Robotics

  • Involves the integration of AI into physical systems, enabling them to perceive and interact with the environment
  • Types:
    • Intelligent robotics: autonomous vehicles, social robots, and robots used in complex tasks
    • Non-intelligent robotics: industrial robots used in manufacturing processes, robotic arms in assembly lines

Ethical Considerations

  • Crucial due to the potential impact on individuals, society, and the environment
  • Issues:
    • Bias in algorithms: unfair outcomes, discrimination, and perpetuation of societal inequalities
    • Transparency and accountability: needed in AI decision-making processes to ensure trustworthiness, especially in high-stakes applications

General AI (Strong AI)

  • Machines will possess the ability to think and make decisions like humans
  • Currently no existing examples, but believed to be possible in the future

Machine Learning

  • Subset of AI that focuses on the ability of machines to learn from data and change algorithms as they learn more
  • defined by Arthur Samuel (1959) as a field of study that gives computers the ability to learn without being explicitly programmed

Machine Learning vs Pattern Recognition

  • Machine Learning: development of algorithms and statistical models to enable computers to learn from and make predictions or decisions based on data
  • Pattern Recognition: field within machine learning that deals with the identification and classification of patterns within data

Supervised Machine Learning

  • Type of machine learning where the model is trained on labeled data, with input features and corresponding target labels or outputs

Regression vs Classification

  • Regression: aims to predict a continuous numerical value or quantity
  • Classification: aims to predict a categorical label or class

Course Outline

  • Introduction to Artificial Intelligence
  • Problem-Solving and Search Algorithms
  • Knowledge Representation and Reasoning
  • Machine Learning Fundamentals
  • Neural Networks and Deep Learning
  • Natural Language Processing (NLP)
  • Reinforcement Learning
  • AI Ethics and Future Directions

Course Evaluation

  • 25% Midterm
  • 20% Quizzes and Assignments
  • 10% Presentation (Case Study or specific topic)
  • 5% Peer Evaluation
  • 40% Final Exam

Definition of AI

  • Simulation of human intelligence by machines programmed by humans
  • Machines need to learn how to reason and do some self-correction as needed along the way
  • Artificial intelligence addresses the use of computers to mimic the cognitive functions of humans

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Description

Quiz about generative AI and its applications in natural language processing, including text generation and language processing. Covers topics such as virtual assistants, automated content creation, and simulations.

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