Immerse yourself in the latest news from OpenAI!
We are excited to unveil the powerful GPT-4 Turbo and GPT-3.5 Turbo models, revolutionizing AI capabilities. With GPT-4 Turbo’s impressive 128K context window and knowledge of world events up to April 2023, it delivers accurate and up-to-date responses.
Additionally, the new Assistants API allows for seamless creation of agent-like experiences. Get ready to explore the exciting possibilities of these updates and the customizable GPTs in ChatGPT.
Let’s dive in!
Key Takeaways
- GPT-4 Turbo offers a 128K context window and has knowledge of world events up to April 2023.
- GPT-3.5 Turbo supports 16K context by default and offers fine-tuning for the 16K model.
- The Assistants API enables the creation of purpose-built AI assistants with new tools and persistent Threads.
- GPT-4 Turbo supports visual inputs and multimodal capabilities, including DALL·E 3 integration and text-to-speech capabilities.
GPT-4 Turbo Updates
GPT-4 Turbo brings significant updates to the table, offering a 128K context window and knowledge of world events up to April 2023. These improvements enhance the performance and expand the applications of GPT-4 Turbo.
With a larger context window, the model can better understand and generate responses in a wider context, enabling more accurate and contextually relevant outputs. Additionally, having knowledge of world events up to April 2023 allows the model to provide up-to-date information and insights.
These advancements make GPT-4 Turbo an invaluable tool for various applications, such as natural language processing, content generation, and virtual assistants. By leveraging the improved performance and expanded capabilities of GPT-4 Turbo, developers can create more sophisticated and advanced AI-powered solutions.
GPT-4 Turbo Pricing Changes
We have made changes to the pricing structure of GPT-4 Turbo, providing more cost-effective options for utilizing this powerful language model.
The GPT-4 Turbo pricing changes have a significant impact on developers. Here are the key points:
- Reduced pricing: The cost of using GPT-4 Turbo has been lowered to $0.01 per 1,000 input tokens and $0.03 per 1,000 output tokens, making it more affordable for developers.
- Improved function calling: GPT-4 Turbo now allows developers to call multiple functions in a single message, enhancing the efficiency of the model.
- Reproducible outputs: The beta feature of reproducible outputs in GPT-4 Turbo provides more deterministic model outputs, ensuring consistency in results.
- Cost-effective options: With the new pricing structure, developers can leverage the capabilities of GPT-4 Turbo without breaking the bank, making it more accessible for a wide range of projects.
These pricing changes aim to empower developers and enable them to make the most out of GPT-4 Turbo’s advanced language processing capabilities.
GPT-4 Turbo Function Calling Improvements
The function calling capabilities of GPT-4 Turbo have been enhanced to allow us to call multiple functions in a single message, improving the efficiency and versatility of the model.
This means that we can now execute multiple operations or tasks within a single function call, reducing the need for multiple interactions and enhancing the overall user experience.
With these enhanced function calling capabilities, GPT-4 Turbo becomes more powerful and flexible, enabling us to perform complex operations and achieve desired outcomes more effectively.
This improvement is particularly valuable in scenarios where multiple actions or computations need to be performed concurrently or sequentially.
GPT-4 Turbo Reproducible Outputs Beta Feature
The beta feature of reproducible outputs enhances the reliability and consistency of GPT-4 Turbo’s model outputs. This feature is currently in beta testing, allowing users to experience the benefits of more deterministic outputs.
Here are some key points about reproducible outputs:
- Reproducible outputs provide consistent results, ensuring that the same input will always yield the same output.
- This feature is valuable for tasks that require reliable and predictable model responses.
- Beta testing allows for user feedback to further improve the performance and stability of reproducible outputs.
- With reproducible outputs, developers can build applications with greater confidence in the consistency of the AI’s responses.
GPT-3.5 Turbo Updates
GPT-3.5 Turbo has been updated to support 16K context by default and offers fine-tuning for the 16K model. This update aims to enhance the performance and language understanding of the GPT-3.5 Turbo model.
With the default support for 16K context, users can now provide more comprehensive input to the model, allowing for a deeper understanding of the given information.
Additionally, fine-tuning is now available for the 16K model, enabling users to further customize and optimize the model’s performance for specific tasks or domains.
These updates contribute to the overall improvement of GPT-3.5 Turbo’s capabilities, providing users with more accurate and context-aware responses.
GPT-3.5 Turbo Context Expansion
Now let’s delve into the expansion of context in GPT-3.5 Turbo, enhancing its language understanding and performance. The context expansion in GPT-3.5 Turbo allows for a more comprehensive understanding of inputs and improves the generation of outputs.
Here are some key points to understand about GPT-3.5 Turbo context expansion:
- GPT-3.5 Turbo now supports 16K context by default, enabling a deeper understanding of the input text.
- Fine-tuning is available for the 16K model, allowing developers to customize and optimize the model for specific tasks.
- With reduced prices, it’s now more affordable to use GPT-3.5 Turbo, with decreased costs for input tokens and output tokens.
- The improved function calling and reproducible outputs features further enhance the performance and reliability of GPT-3.5 Turbo.
GPT-3.5 Turbo Fine-tuning Availability
With the expansion of context in GPT-3.5 Turbo, we can now explore the availability of fine-tuning for this model.
Fine-tuning in GPT-3.5 Turbo allows users to customize the model for specific tasks or domains, resulting in improved performance and more accurate responses.
The availability of fine-tuning in GPT-3.5 Turbo opens up a range of possibilities for developers and organizations looking to leverage the power of this language model in their applications.
By fine-tuning the model, users can adapt it to their specific needs, ensuring that it generates output that aligns with their desired outcomes.
This level of customization enhances the flexibility and usability of GPT-3.5 Turbo, making it a valuable tool for a variety of applications.
The benefits of fine-tuning in GPT-3.5 Turbo include increased accuracy, improved task-specific performance, and the ability to create tailored experiences for users.
GPT-3.5 Turbo Price Reductions
As we continue our exploration of GPT-3.5 Turbo’s capabilities, let’s delve into the exciting topic of the recent price reductions.
Here is a comparison of the pricing for GPT-3.5 Turbo and the upcoming GPT-4 Turbo:
- GPT-3.5 Turbo:
- Input token prices decreased by 75% to $0.003/1K.
- Output token prices decreased by 62% to $0.006/1K.
- Supports 16K context by default.
- Fine-tuning available for the 16K model.
- GPT-4 Turbo:
- Offers a 128K context window, allowing for more extensive context understanding.
- Reduced pricing: $0.01/1K for input tokens, $0.03/1K for output tokens.
These price reductions make GPT-3.5 Turbo even more affordable, while GPT-4 Turbo offers a significantly larger context window for improved performance.
It’s an exciting time for developers as they’ve access to these powerful language models at more accessible prices.
Assistants API Introduction
We continue our exploration of the Assistants API, a powerful tool for building agent-like experiences, seamlessly integrating it into applications. This API allows for the creation of purpose-built AI assistants with new tools and features that enhance natural language processing advancements. One notable feature is the introduction of persistent Threads, which enables developers to hand off thread state management. To give you a better understanding, here is a table showcasing some of the key tools available in the Assistants API:
| Tool | Description |
|---|---|
| Code Interpreter | Allows the execution of code within the context of an AI assistant |
| Retrieval | Enables the retrieval of specific information from a knowledge base |
| Function Calling | Facilitates the calling of multiple functions in a single message |
| Persistent Threads | Provides developers with the ability to manage thread states |
With the Assistants API integration, developers can create intelligent assistants that can understand and respond to user queries, making applications more interactive and user-friendly.
Assistants API Features and Benefits
One of the key features of the Assistants API is its ability to facilitate the execution of code within the context of an AI assistant. This opens up a world of possibilities for developers to create purpose-built AI assistants with advanced capabilities.
Here are some of the benefits and features offered by the Assistants API:
- Persistent Threads: Developers can now hand off thread state management to the assistant, allowing for more seamless interactions and continuity.
- Code Interpreter: The API includes a code interpreter tool, enabling the execution of code within the assistant’s context.
- Retrieval: The Assistants API also offers a retrieval tool, allowing access to relevant information from knowledge bases or external sources.
- Function Calling: Developers can now call multiple functions in a single message, streamlining the execution of complex tasks.
These features empower developers to build sophisticated AI assistants that can handle a wide range of tasks and provide personalized experiences for users.
Multimodal Capabilities of GPT-4 Turbo
The multimodal capabilities of GPT-4 Turbo enhance the AI assistant’s ability to process visual inputs and perform tasks like caption generation and visual analysis.
With the integration of vision features, accessed through the gpt-4-vision-preview model, GPT-4 Turbo now supports visual inputs in the Chat Completions API. This allows developers to leverage the power of GPT-4 Turbo for tasks that involve analyzing and generating captions for images.
Additionally, GPT-4 Turbo includes DALL·E 3 integration, which enables image generation capabilities.
Furthermore, GPT-4 Turbo offers text-to-speech capabilities through the TTS model, providing users with access to six natural-sounding voices.
These multimodal capabilities open up a range of possibilities for developers and users alike, allowing for more interactive and engaging AI-powered experiences.
GPT-4 Turbo Visual Inputs and Features
With the introduction of visual inputs and features, GPT-4 Turbo expands its capabilities to process and analyze images. This update allows GPT-4 Turbo to generate images and perform visual analysis. Here are some key features:
- GPT-4 Turbo supports image generation through integration with DALL·E 3.
- The Chat Completions API now enables caption generation and visual analysis.
- Visual inputs can be accessed using the gpt-4-vision-preview model.
- GPT-4 Turbo also offers text-to-speech capabilities with six natural sounding voices through the TTS model.
These new additions enhance the multimodal capabilities of GPT-4 Turbo, making it a versatile tool for tasks involving both text and visuals. Users can now leverage GPT-4 Turbo for tasks such as generating images and converting text into speech with ease and accuracy.
Customizable GPTs in ChatGPT
Continuing the discussion from the previous subtopic, we can now explore the topic of customizable GPTs in ChatGPT.
Customizable GPTs give developers the ability to create their own versions of ChatGPT with specific instructions, data, and capabilities. With developer control, GPTs allow for a larger portion of the user experience to be managed by developers themselves.
This means that developers can define their own actions that can be called by GPTs, providing a more tailored and personalized experience for users. Additionally, plugins and actions can be easily converted to work with GPTs.
For more information on how to create and customize GPTs, detailed documentation is available.
Overall, customizable GPTs in ChatGPT empower developers to have greater control and flexibility in shaping the user experience.
Keywords: Customizable GPTs and developer control, GPT 4 Turbo visual analysis and caption generation.
Frequently Asked Questions
What Are the Main Benefits of Using the Assistants Api?
The main benefits of using the Assistants API include effortless creation of agent-like experiences, customization options for GPTs in ChatGPT, and the ability to build purpose-built AI assistants with persistent Threads and new tools.
How Can Developers Customize GPTs in Chatgpt to Create Specific Versions?
Developers can customize GPTs in ChatGPT to create specific versions by combining instructions, data, and capabilities. This customization allows for control over the AI’s actions, enabling a tailored experience for various use cases.
What Are the Pricing Changes for GPT-4 Turbo?
The pricing changes for GPT-4 Turbo include reduced prices of $0.01/1K for input tokens and $0.03/1K for output tokens. Additionally, GPT-3.5 Turbo offers cheaper input and output token prices, decreased by 75% and 62% respectively. Training data improvements are also available.
Can Gpt-3.5 Turbo Support Context Longer Than 16k?
Yes, GPT-3.5 Turbo can support context longer than 16K. It now offers 4x longer context at lower prices. Fine-tuning is available for the 16K model, making it more customizable. However, there may still be limitations to consider.
What Are the New Multimodal Capabilities Introduced in GPT-4 Turbo?
The new multimodal capabilities introduced in GPT-4 Turbo include enhanced image recognition, allowing for improved visual analysis and caption generation. With new training data, GPT-4 Turbo expands its ability to process and interpret visual inputs.
Conclusion
In conclusion, OpenAI’s latest updates and enhancements signify a significant leap forward in the field of AI. These advancements include GPT-4 Turbo, GPT-3.5 Turbo, the Assistants API, multimodal capabilities, and customizable GPTs.
These updates offer developers and users unprecedented possibilities for creating more accurate, contextually rich, and visually integrated AI models. With these tools at their disposal, the potential for creating intelligent and personalized experiences is limitless.
OpenAI continues to push the boundaries of AI innovation, paving the way for a more advanced and interconnected future.
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