22/03/2025
This image illustrates the hierarchy of AI-related terminology, from broad concepts to specific implementations. Here's a breakdown:
1. Artificial Intelligence (AI) – The broadest field that involves creating machines capable of performing tasks that typically require human intelligence.
2. Machine Learning (ML) – A subset of AI where machines learn patterns from data and improve performance over time without being explicitly programmed.
3. Neural Networks (NN) – A type of ML inspired by the human brain, consisting of layers of interconnected nodes (neurons) that process information.
4. Deep Learning (DL) – A more advanced type of neural network with many layers, enabling it to learn complex patterns from large datasets.
5. Transformers – A type of deep learning model designed for handling sequential data, primarily used in natural language processing (NLP).
6. Generative AI (GenAI) – AI models capable of generating new content, such as text, images, or music, based on learned patterns.
7. Generative Pre-Trained Transformers (GPT) – A specific type of transformer-based model trained on large datasets before being fine-tuned for specific tasks.
8. Large Language Models (LLM) – A subset of GPT models designed to process and generate human-like text.
9. GPT-4 – The fourth version of OpenAI’s GPT model, known for its enhanced capabilities in understanding and generating text.
10. ChatGPT – A user-friendly implementation of GPT-4 designed for interactive conversations.
Each layer in the diagram represents a narrowing focus from general AI concepts to specific applications like ChatGPT.
゚viralシfypシ゚viralシalシ ゚ Followers ✨ HighlightsEveryone Manishkumar Jethva
