ChatGPT Overview

Now that we understand Generative AI in my previous post, let’s explore one of its most popular tools: ChatGPT, developed by OpenAI.

What is ChatGPT?

• ChatGPT is a Large Language Model (LLM) designed for natural language understanding and generation, especially in conversational contexts.

• It can understand human language, generate responses, and maintain context across multiple interactions—just like humans do in conversations.

Key Capabilities:

1. Natural Language Understanding & Generation

○ Understands user queries in plain language.

○ Responds in a human-like, readable manner.

2. Conversational Context Handling

○ Remembers previous questions and tailors responses accordingly.

○ Enables fluid, back-and-forth conversations.

3. Real-World Demo Example:

○ Asked about airports in New York → ChatGPT gives a relevant list.

○ Follow-up: “Which one is closest to New Jersey?” → It remembers earlier answers and responds contextually.

Why is ChatGPT Popular?

• Traditional bots are stateless—they forget everything after each reply. ChatGPT maintains context, making it much more useful and intelligent.

• It offers accurate, fluent, and coherent answers.

• Launched with a user-friendly web interface (chat.openai.com), making it accessible to everyone—not just developers.

Additional Facts:

• Built on GPT Architecture: GPT stands for Generative Pre-trained Transformer—a kind of neural network.

• Versioning: GPT-3.5 (free) and GPT-4 (paid) exist, with GPT-4 capable of handling images (via DALL·E) and offering more powerful features.

• Massive Training Data: GPT-3 was trained on 570GB of text data from sources like Wikipedia, blogs, and news.

• Integration: OpenAI is backed by Microsoft, and ChatGPT is integrated into products like Bing, Windows Copilot, Teams, and more (mostly on Azure cloud).

Use Cases:

• ChatGPT can help write poems, essays, articles, thesis papers, and even translate languages or do sentiment analysis.