Course (Part 321)

Course: ChatGPT, Midjourney, ChatGPT 4, & DallE - The AI Bible

Lesson

Topic: Introduction to ChatGPT, GPT-4, and OpenAI — overview, technologies, applications, APIs, and ethics

Learning Outcomes

• Identify the core architecture and purpose of ChatGPT and GPT-4.
• Describe common applications across industries (education, customer service, creative, healthcare).
• Explain how API integration enables real-world deployments and custom workflows.
• Recognize ethical considerations and best practices for responsible use.

Conceptual Explanation

ChatGPT and GPT-4 are language models based on transformer architectures that learn patterns in text via large-scale pretraining and fine-tuning. ChatGPT is tuned for conversational coherence and safety, making it effective for dialogue; GPT-4 extends context length and accuracy, supporting more complex tasks and multi-step reasoning. API access allows developers to call model endpoints for generation, summarization, translation, and classification, integrating these capabilities into web apps, chatbots, or backend services. Combining generative text models with visual models (DALL·E, Midjourney) enables multimodal outputs for creative workflows. Typical office use cases include brainstorming, drafting emails/reports, meeting summarization, and research assistance. In specialized domains, models assist with legal drafting, medical triage support, and sentiment analysis of customer reviews but must operate under human supervision. Responsible deployment includes monitoring for factual errors, mitigating bias, protecting data privacy, and applying guardrails for safety.

Bilingual (EN → বাংলা)

For expanded bilingual explanations, see the Answer panel below.

Important Notes

• APIs require authentication and usage controls; monitor quotas and costs.
• Validate critical outputs: models can hallucinate facts; always have human-in-the-loop for high-stakes decisions.
• Design prompts carefully—prompt engineering improves reliability and relevance.
• Privacy: avoid sending sensitive personal data without explicit safeguards.
• Bias mitigation: test model behaviour on diverse inputs and apply corrective measures (filters, guardrails).

Exercises → True / False / Fill in the Blanks / MCQ / Matching / Descriptive / Creative

True / False

1. GPT-4 can maintain context across longer conversations than earlier GPT versions.
Answer

True — GPT-4 is designed for improved context handling and longer context windows.

2. Models like ChatGPT are guaranteed to be factually correct at all times.
Answer

False — models can produce convincing but incorrect statements (hallucinations).

Fill in the Blanks

1. ______ provides programmatic access to model capabilities so developers can integrate AI features (three letters).
Answer

API

2. Combining ChatGPT with DALL·E enables _____ outputs (two words).
Answer

multimodal responses

Multiple Choice (MCQ)

1. Which of the following is primarily an image-generation model?
   • a) ChatGPT
   • b) DALL·E
   • c) GPT-3.5 (text only)
   • d) ADA (Advanced Data Analysis tool)
   Answer

   b) DALL·E — DALL·E is designed to generate images from text prompts.

2. What is a recommended practice when deploying AI in healthcare?
   • a) Fully automate diagnoses without oversight
   • b) Use human-in-the-loop and validate outputs
   • c) Send all patient data to public endpoints
   • d) Ignore model limitations
   Answer

   b) Use human-in-the-loop and validate outputs — healthcare requires oversight and validation.

Matching

Match the item in column A with the best description in column B.

Descriptive

Question: Explain in 3–4 sentences why human oversight is necessary when using ChatGPT in legal or medical contexts.

Creative

Task: Draft a single short prompt (one sentence) you would give to ChatGPT + DALL·E to create a social media post announcing a product launch with a matching hero image.

Activities, Vocabulary, Homework, Practice Task

Activities

1. Group exercise: design a 5-minute roleplay where one student is a customer and the other uses a ChatGPT-powered bot to answer product questions.
Answer

Debrief: Evaluate prompt clarity, bot accuracy, and where handoff to a human was necessary.

2. Hands-on: call the OpenAI sandbox or demo and test a short prompt; record the model’s strengths and weaknesses.
Answer

Report: Note examples of good completions and any hallucinations or unsafe outputs; suggest prompt refinements.

Vocabulary

Homework

1. Write a one-page reflection: choose an industry and describe two realistic ways ChatGPT/GPT-4 could be integrated, including benefits and ethical safeguards.
Answer

Guidance: Include technical approach (API integration), human-in-the-loop steps, data privacy measures, and bias testing plan.

2. Prepare three prompt variations for generating a product description and compare outputs.
Answer

Evaluation: Compare specificity, tone, and factual consistency; recommend the best prompt and why.

Practice Task

Implement a short script (pseudo-code acceptable) that sends a prompt to a language model API to summarize meeting notes and return action items.

POST /v1/chat/completions
Headers: Authorization: Bearer <API_KEY>, Content-Type: application/json
Body:


gpt-4",
  "messages": [
    

system"

You are an assistant that extracts action items and summaries."},
    

user"

Here are meeting notes: <paste notes>. Provide a 2-sentence summary and list action items with owners."}
  ],
  "max_tokens": 200
}
          

Instructor notes: Emphasize responsible use, iterative prompt testing, and validating outputs—especially in sensitive domains. Encourage students to experiment and document prompt–response pairs for later review.