Navigating the Vocabulary of Gen AI
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.
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