GenAI self-study Flashcards
What is Generative AI (GenAI)?
A branch of artificial intelligence technologies specialized in creating new content such as text, images, and audio.
How does Generative AI differ from traditional AI?
GenAI focuses on producing entirely new data outputs, while traditional AI primarily analyzes or categorizes existing data.
List three applications of Generative AI.
- Content creation in creative industries
- Streamlining business processes
- Drug discovery in healthcare
What is MLOps?
A methodology that facilitates the transition of experimental machine learning models into production and their efficient maintenance.
Fill in the blank: The primary purpose of MLOps is to ensure _______ of machine learning models in production.
[efficiency and reliability]
What are key features of MLOps?
- Data and model versioning
- Automation of pipelines
- Continuous integration and deployment (CI/CD)
- Continuous monitoring
What is deep learning?
A specialized subset of machine learning that employs neural networks with multiple layers to extract higher-level features.
True or False: Convolutional Neural Networks (CNNs) are best suited for sequential data.
False
What is the transformer architecture known for?
Employing self-attention mechanisms to weigh the importance of different parts of input sequences.
Define Natural Language Processing (NLP).
A subfield of AI focused on enabling machines to analyze and represent human language.
What is the focus of Natural Language Understanding (NLU)?
Comprehension and understanding of meaning and intent behind language.
List two significant advancements in language models.
- Word embeddings like Word2Vec
- Transformer architecture with models like BERT and GPT
What is one emerging trend in AI for 2025?
The rise of multimodal AI systems that can process and generate multiple types of data simultaneously.
Fill in the blank: Understanding the _______ is essential for mastering Generative AI.
[fundamentals of machine learning]
What programming language is predominantly used in AI and machine learning?
Python
What are Generative Adversarial Networks (GANs)?
A type of generative model that consists of two neural networks competing against each other to produce new data.
True or False: MLOps adapts principles from traditional software development without modifications.
False
What does the term ‘transfer learning’ refer to?
Applying knowledge from one task to improve performance on a different but related task.
List key challenges organizations face when implementing MLOps.
- Managing complex data dependencies
- Ensuring model reproducibility
- Cultural shifts towards production-oriented thinking
What are the two main types of learning paradigms in machine learning?
- Supervised learning
- Unsupervised learning
What is the purpose of feature engineering in data science?
To enhance model performance by selecting and transforming input variables.
Fill in the blank: Neural networks consist of interconnected nodes called _______.
[neurons]
What is the significance of large language models (LLMs)?
They demonstrate emergent capabilities for coherent language generation and understanding without explicit programming.
Define the term ‘self-supervised learning’.
A learning approach where models learn from unlabeled data by predicting parts of the input from other parts.
