📅 2024-04-30 — Session: Implemented OpenAI GPT-4 API updates and strategies
🕒 13:30–15:10
🏷️ Labels: Openai, GPT-4, API, Python, SDK, Token Limit
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to update and refine the usage of the OpenAI GPT-4 API, focusing on the latest changes and best practices.
Key Activities
- Reviewed the preparation guide for a transportation safety exam, focusing on key study areas like infrastructure, driver behavior, and risk factors.
- Explored the use of the OpenAI API’s Chat Completion endpoint with GPT-4 through Python, providing examples for text analysis.
- Updated the implementation approach based on the OpenAI API library changes for GPT-4, including code examples.
- Examined the OpenAI Python SDK version 1.0.0 update, noting deprecated methods and providing updated code for chat completion requests.
- Clarified the correct usage of the OpenAI Python client post-version 1.0 update, with key changes and sample code.
- Provided an overview of GPT-4 model variants and the GPT-4 Turbo model, focusing on high token limit applications and strategies for handling token limits.
Achievements
- Successfully updated the OpenAI API usage to align with the latest SDK and API changes.
- Developed strategies for handling token limit issues with the GPT-4 Turbo model, ensuring efficient API usage.
Pending Tasks
- Further exploration of the GPT-4 Turbo model’s capabilities and limitations in practical applications to optimize usage strategies.