Overview of OpenAI Models

This lecture provides a detailed overview of various OpenAI models, explaining their features, use cases, and unique capabilities.

GPT40 Mini

• Purpose: Fast, cost-efficient model for everyday tasks; rarely rate limited.
• Use Cases:
  • Customer support automation.
  • Quick questions and basic information retrieval.
• Advantages:
  • Compact and efficient, ideal for quick responses.
  • Limited use for image input.

GPT40

• General Purpose Model: All-rounder for a variety of tasks.
• Use Cases:
  • Writing and formatting essays, scripts, and outlines.
  • Generating and translating text.
  • Image analysis with multimodal capabilities.
• Voice Mode:
  • Interaction via voice for multitasking and idea exploration.

GPT 4.5

• Enhanced Emotional Intelligence:
  • Adapts tone and language contextually.
  • Produces empathetic and polished responses.
• Use Cases:
  • Creative writing and professional communication.
  • Higher accuracy and fewer hallucinations.
• Limitations: Limited to 50 messages per week due to cost.

03 Model

• AI Agent Capabilities:
  • Performs tasks, conducts research, and generates detailed reports.
• Advanced Image Analysis:
  • Granular image processing with internet cross-referencing.
• Business Analysis:
  • Provides business insights and forecasts using real-world data.

04 and 04 Mini

• Focus on Mathematics:
  • Excels at complex mathematical problem-solving.
• Use Cases:
  • Business calculations and profit analysis.

Deep Research Tool vs 03

• Research Capabilities:
  • Deep Research is designed for quick, in-depth topic research.
  • 03 acts as an agentic solution engaging in more comprehensive analysis.
• Time Considerations:
  • Deep Research may take longer but provides detailed insights.

Conclusion

These models offer a variety of capabilities suited to different kinds of tasks, from quick Q&A to deep research and complex problem-solving. Understanding each model's strengths can optimize their use in specific scenarios.