21 Generative AI Jargons Simplified: Part 2 — AI Model
5 min readJun 27, 2024
This is part of the blog series, where I am explaining 21 frequently used Generative AI jargons in simple words. To make it super simple and interesting, I will provide an analogy as well.
Note: I am publishing it as a series. Part 4 to 21 are yet to be published.
You may subscribe me to get an email when I publish the next blog in this series.
- Prompt Engineering
- AI Model [Current Blog]
- Foundation Model
- AI Hallucination
- Retrieval-Augmented Generation (RAG)
- Grounding
- Natural Language Processing (NLP)
- Explainable AI
- Prompt Injection Attack
- Overfitting and Underfitting
- Multimodality
- Autoencoders
- Computer Vision
- Transfer Learning
- AI Detectors
- Adversarial Attacks
- Data Augmentation
- Generative Adversarial Networks (GANs)
- Variational Autoencoders (VAEs)
- Transformer-Based Models
- AI Poisoning Attacks
This is 2nd blog in this series. The jargon is AI Model.
Side Note: I strongly recommend you to go through the previous blog…
