Models by OpenAI

OpenAI has developed some of the most widely-used and influential large language models (LLMs) in the field, including GPT-3, GPT-4, and the ChatGPT family. These models have shaped industry practices around prompt engineering, API usage, and LLM deployment.

Key Models

  • GPT-3: Released in 2020, 175B parameters. First widely available general-purpose LLM.
  • GPT-3.5 (e.g., gpt-3.5-turbo): Fast, lower-cost model powering early ChatGPT versions.
  • GPT-4: More capable, nuanced, and aligned. Used in advanced applications (e.g., gpt-4-0613, gpt-4-1106-preview).
  • GPT-4o (Omni): Unified vision, text, and audio model launched in 2024. Extremely fast, multimodal, and cost-efficient.

Model Access via API

  • Endpoints:
    • chat/completions (for ChatGPT-style interaction)
    • completions (for older models like text-davinci-003)
  • Configurable Parameters:
    • temperature
    • top_p
    • max_tokens
    • stop
    • frequency_penalty, presence_penalty
  • Function Calling: Structured output and tool invocation
  • System Role Prompting: Behavior control using role-based instructions

Common Use Cases

  • Chatbots and assistants
  • Summarization
  • Code generation
  • Data extraction and transformation
  • Document search with RAG
  • Content creation

Influence on Prompt Engineering

  • Many best practices for prompt design (zero-shot, few-shot, CoT, role prompting) were pioneered and documented using OpenAI models.
  • OpenAI models often set the benchmark for LLM capability and API design patterns across the ecosystem.
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