Discover OpenAI's Cutting-edge GPT-4 Turbo and Assistants API

Discover OpenAI's Cutting-edge GPT-4 Turbo and Assistants API

Table of Contents:

1. Introduction to OpenAI dev day
2. GPT-4 Turbo: A New Model with Enhanced Features 2.1 Context length improvement 2.2 More control with JSON mode and better function calling 2.3 Reproducible outputs for consistent results
3. Better World knowledge and Knowledge Cutoff Extension 3.1 Bringing outside knowledge to chat GPT 3.2 Extending GPT-4 Turbo's knowledge
4. New Modalities: DALI-3, Vision, and Text-to-Speech Models 4.1 DALI-3 and its applications like Coca-Cola campaign 4.2 AI voices for text-to-speech applications
5. Customization and Fine-tuning GPT-4 Turbo 5.1 Fine-tuning capabilities for enterprise users 5.2 Custom GPT models with research collaboration
6. Pricing Updates: Cost Reduction and Rate Limit Increase
7. Introduction to GPTS: Tailored Versions of Chat GPT 7.1 Building customized GPTs for specific purposes 7.2 Publishing GPTs on the marketplace and earning
8. GPT Builder: Creating Your Own GPT 8.1 Example of using GPT Builder to assist startup founders 8.2 Configuring capabilities and providing instructions
9. Assistance API: New Features for App Assistance 9.1 Threading, retrieval, code interpretation, and function calling 9.2 Specialized assistance within the app

Article:

OpenAI Dev Day Unveils Exciting Updates on GPT-4 Turbo and More

OpenAI recently held its first dev day conference, where they unveiled a series of new features and updates surrounding their highly popular language model, GPT. Among the exciting announcements made were the introduction of GPT-4 Turbo, a new text-to-speech model with six AI voices, an assistance API for seamless integration with UI and applications, and more affordable pricing options. Let's dive into these updates and explore the potential they hold.

GPT-4 Turbo: A New Model with Enhanced Features

The highlight of OpenAI's dev day was the unveiling of GPT-4 Turbo, a powerful new model that brings several improvements over its predecessor. This upgraded version offers an impressive Context length of 128,000 tokens, which is 16 times larger than the previous GPT-4 model. This expanded context length allows for more accurate and Meaningful responses, especially when dealing with longer conversations or Texts.

One standout feature of GPT-4 Turbo is its improved control. Developers now have the ability to utilize JSON mode, enabling them to force the model to respond with valid JSON, which can be extremely useful in various applications. Additionally, the model excels in function calling, significantly reducing the number of requests needed for generating desired responses.

Reproducible outputs are another noteworthy addition to GPT-4 Turbo. By passing a C parameter, developers can ensure consistent outputs from the model, granting them greater control over its behavior. This feature is currently in beta and promises to provide users with a more reliable and predictable experience.

Better World knowledge and Knowledge Cutoff Extension

With GPT-4 Turbo, OpenAI aims to enhance the model's understanding of the world by allowing users to bring in external knowledge from their own data sources. Whether it's uploading documents or linking to vast amounts of data, chat GPT can now ingest this information and incorporate it into its responses. This feature empowers users to leverage their own data and domain expertise, making conversations with the model more contextual and informative.

To ensure the model remains up-to-date, OpenAI has extended the knowledge cutoff for GPT-4 Turbo. While GPT-4's understanding of the world ends at September 2021, GPT-4 Turbo's knowledge stretches all the way up to April 2023. OpenAI continues to work on improving this knowledge extension, providing users with the most Relevant and accurate information.

New Modalities: DALI-3, Vision, and Text-to-Speech Models

OpenAI is pushing the boundaries of GPT's capabilities by introducing new modalities. DALI-3, a GPT-4-Based vision model, offers exciting possibilities for image-based applications. For instance, during the conference, Coca-Cola launched a campaign that allows customers to generate Diwali cards using DALI-3. This integration of vision and language opens the door to innovative solutions that can analyze, annotate, and interpret visual content.

Moreover, OpenAI unveiled a text-to-speech model featuring six AI voices that sound incredibly natural and lifelike. These voices can be utilized for various applications, such as language learning tools or voice assistants, enhancing the user experience and making interactions with AI more engaging.

Customization and Fine-tuning GPT-4 Turbo

OpenAI recognizes the importance of customization, and starting from November 6th, users will have the ability to fine-tune the GPT-4 Turbo model. For enterprise users, OpenAI is even launching custom models, where researchers will work closely with companies to develop GPT models tailored to specific use cases. This level of customization can greatly improve the performance and relevance of GPT-4 Turbo for various industries.

While customization brings tremendous value, it's essential to note that fine-tuning and custom models may come at a higher cost. Pricing details for these services are not currently disclosed, but it's anticipated that bespoke models will require substantial investment due to the intensive collaboration involved.

Pricing Updates: Cost Reduction and Rate Limit Increase

OpenAI aims to make its language models more accessible to users by reducing the pricing of GPT-4 Turbo. Compared to GPT-4, the new model costs only one-third for input tokens and half for output tokens. This pricing revamp translates to 1 cent for every 1000 input tokens and 3 cents for every 1000 output tokens, making it cost-effective for users with different requirements.

Notably, OpenAI has also doubled the rate limits for GPT-4 Turbo, allowing users to request higher limits directly from the Website. This streamlined process eliminates the need for manual emails and provides developers with greater flexibility and scalability.

Introduction to GPTs: Tailored Versions of Chat GPT

OpenAI introduced a new concept called GPTs, which refers to tailored versions of chat GPT designed for specific purposes. Users can build their own GPTs by incorporating instructions, expanded knowledge, and actions. These customized GPTs can then be published on the GPT marketplace, enabling others to utilize and benefit from them. GPTs leverage a combination of contextual information, instructions, and domain expertise, resulting in more helpful and controlled responses within their designated contexts.

This update is a significant step towards creating more advanced AI agents that can perform a range of tasks and activities based on user requests. Similar to Discord bots, users can Create and publish their GPTs on the marketplace, potentially opening up opportunities to earn income by offering specialized conversational agents.

GPT Builder: Creating Your Own GPT

During the conference, OpenAI showcased the GPT Builder, a powerful tool that allows users to create their own customized GPT models. With GPT Builder, developers can build conversational agents tailored to specific use cases, such as assisting startup founders in thinking through their business ideas and providing valuable advice. The intuitive interface of GPT Builder enables users to configure various capabilities, add custom actions, and even upload additional reference documents or data sources.

By leveraging the GPT Builder, users can quickly generate the initial structure and responses of their GPT, which can then be fine-tuned and further enhanced to meet their specific needs. OpenAI provides a comprehensive set of tools and features, ensuring that users have full control over their GPT and can create a highly effective conversational agent.

Assistance API: New Features for App Assistance

Another major announcement from OpenAI dev day was the introduction of the new assistance API. This API offers developers a range of features and tools to integrate chat-based assistance in their applications seamlessly. With threading, retrieval, code interpretation, and function calling capabilities, developers can create powerful and specialized assistants that provide real-time support.

One of the standout features of the assistance API is function calling, which allows developers to invoke multiple functions simultaneously, guaranteeing JSON output with minimal additional latency. This feature unlocks new possibilities for developers to create interactive and dynamic applications that respond to user inputs and adapt the UI accordingly. The API's versatility enables the integration of intelligent assistance into a wide range of applications, further enriching the user experience.

In conclusion, OpenAI's dev day conference introduced several groundbreaking updates that promise to revolutionize the capabilities of GPT-4 Turbo and other chat GPT models. With enhanced features, improved world knowledge, customization options, lower pricing, and the introduction of GPTs and the assistance API, OpenAI is pushing the boundaries of conversational AI. These updates cater to a wide range of users, from developers seeking powerful language models to enterprise clients looking for customized AI solutions. The future of AI looks bright, and OpenAI continues to lead the way with its innovative advancements.

Highlights:

• OpenAI dev day unveils GPT-4 Turbo, a powerful new language model with expanded context length, improved control, and reproducible outputs.
• GPT-4 Turbo incorporates external knowledge and extends its understanding of the world, making conversations more contextual and informative.
• New modalities, such as DALI-3 and AI-powered text-to-speech, offer exciting applications in vision-based tasks and natural-sounding voice synthesis.
• Fine-tuning and customization options are introduced, allowing users to tailor GPT-4 Turbo to their specific needs.
• Pricing updates reduce the cost of using GPT-4 Turbo and introduce higher rate limits, enhancing accessibility and scalability.
• GPTs, tailored versions of chat GPT, are introduced, empowering users to build and publish their own conversational agents.
• GPT Builder provides a user-friendly interface for creating customized GPT models, enabling users to configure capabilities and add additional instructions.
• The assistance API offers threading, retrieval, code interpretation, and function calling capabilities, empowering developers to create specialized AI assistants integrated within their applications.

FAQ:

Q: What is GPT-4 Turbo? A: GPT-4 Turbo is an upgraded version of OpenAI's language model that offers expanded context length, improved control, and reproducible outputs, providing users with more accurate and meaningful responses.

Q: Can I bring in external knowledge to chat GPT with GPT-4 Turbo? A: Yes, GPT-4 Turbo allows users to bring in external knowledge from their own data sources, such as uploaded documents or linked databases, enhancing the model's understanding of the world and providing more contextual responses.

Q: How can GPT-4 Turbo be customized? A: Starting from November 6th, users can fine-tune GPT-4 Turbo to better suit their needs. OpenAI is also offering custom GPT models for enterprise users, involving close collaboration with researchers to develop models specific to their use cases.

Q: How has OpenAI addressed pricing concerns? A: OpenAI has significantly reduced the pricing of GPT-4 Turbo, making it more affordable for users. The rate limits for GPT-4 Turbo have also been doubled, providing users with more flexibility and scalability.

Q: What are GPTs? A: GPTs, or tailored versions of chat GPT, are models that users can build by incorporating instructions, expanded knowledge, and actions. These customized GPTs can be published on the marketplace, allowing others to benefit from them and potentially earning income for the creators.

Q: How can developers create their own GPT models? A: OpenAI provides the GPT Builder tool, which allows developers to create their own customized GPT models. With an intuitive interface, developers can configure capabilities, add custom actions, and even upload additional reference documents or data sources.

Q: What features does the assistance API offer? A: The assistance API provides threading, retrieval, code interpretation, and function calling capabilities, empowering developers to create specialized AI assistants within their applications. Function calling, in particular, allows for JSON output with minimal latency and the ability to invoke multiple functions simultaneously.