The recent developments at OpenAI indicate a significant advancement in the customization and application of GPT technology:
- Custom GPTs for B2C: Previously, users had to choose a model for specific tasks, but now ChatGPT automatically selects the optimal model. The concept of persona-based GPTs suggests a future where AI can switch contexts or "personalities" as needed. This could lead to an economy centered around creating AI-tailored content.
- Functionality Improvements: The ability to call multiple functions within a single user query greatly enhances the versatility of GPT models.
- Assistant API: This new stateful API can support various tools simultaneously, maintain extensive message histories, and manage files, which might enhance the user experience despite its simple retrieval algorithm and higher cost.
- GPT-4 Enhancements: There are significant updates with GPT-4, including fine-tuning costs, Whisper v3 integration, and APIs for various services like Dall-E 3 and GPT-4 Vision. Notably, GPT-4 Turbo offers updated knowledge, a larger context window, faster speeds, and lower costs.
- Code and JSON Compatibility: The new GPT-4 can interpret JSON, facilitating easier integration with other software, and includes an accessible Code Interpreter feature.
- Conversation Threads: The API now includes a feature for remembering conversation history, which simplifies development. But this might also anger a bunch of developers.
- Future Directions: Plans include orchestration for group interactions, multimodal capabilities like voice commands, bringing your own code execution environments, asynchronous support, a GPT store for sharing creations, and internal corporate GPT deployments.
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