Navigating the Vocabulary of Gen AI
Difficulty: Beginner
Duration: 2 minutes and 20 seconds
Students: 771
Rating: 5/5
In this lesson, we're going to focus on understanding some of the vocabulary being used when discussing generative AI.
Learning Objectives
By the end of this lesson you will have a greater understanding of the following terms and what they mean:
- Video - Vocabulary - Part 1
- Artificial Intelligence
- Machine Learning
- Artificial Neural Networks (ANN)
- Deep Learning
- Generative AI (GAI)
- Foundation Models
- Large Language Models
- Natural Language Processing (NLP)
- Transformer Model
- Generative Pretrained Transformer (GPT)
- Video - Vocabulary - Part 2
- Responsible AI
- Labelled Data
- Supervised learning
- Unsupervised learning
- Semi-supervised learning
- Prompt engineering
- Prompt chaining
- Retrieval Augmented Generation (RAG)
- Parameters
- Fine Tuning
- Video - Vocabulary - Part 3
- Bias
- Hallucinations
- Temperature
- Anthropomorphism
- Completion
- Tokens
- Emergence in AI
- Embeddings
- Text Classification
- Context Window
Intended Audience
- Those who have an interest in artificial intelligence, and in particular, generative AI
- It is suitable for those in both a non-technical and technical role
Prerequisites
- There are no specific prerequisites for this lesson. It has been designed to provide a high-level overview of some of the common terms and components when discussing Gen AI.