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Key Updates from OpenAI DevDay

New Progress in GPT-4 Turbo:

  • the API.
  • Function calls have become more powerful, allowing simultaneous requests for multiple APIs. For example, getting weather updates for three locations at once.
  • Perform output control: response_format to { type: "json_object" }


Assistants API Function Enhancement:

. The API provides three powerful tools: code interpreter, retrieval, and function calls.

  • :Execute Python coding in a safe environment, generate charts, and process complex data. The Code Interpreter was introduced earlier.
  • :Leverage external data sources to extend the assistant's knowledge, such as domain-specific data and user-provided documents, simplifying the document processing workflow.
  • :Allow the assistant to invoke and integrate user-defined function responses.


Multimodal capability enhancement:


Personalization and Custom Models:

  • The fine-tuning details of GPT-3 are now applicable to GPT-4, bringing more personalized options for model interaction. As previously introduced.
  • The custom model program is well-suited for training datasets with tens of billions of tokens, offering the possibility to create customized GPT-4 models.


Significant price reduction:

  • Input costs reduced to one-third of the original price, and output costs reduced to half of the original price.
  • Price comparison table.
  • The API call limit per second has doubled, providing better cost efficiency for large-scale operations.


Technical Enhancement:

  • : Provides stronger speech recognition capabilities.
  • : The VAE component of Stable Diffusion, which improves text processing, facial control, and line work, bringing higher quality and accuracy.