Cookie Consent

By clicking “Accept Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage and assist in our marketing efforts. More info

Hexaview Logo
great place to work certified logo

General Published on: Fri Dec 01 2023

OpenAI's GPT-4 Turbo: A Leap Forward in AI Innovation

OpenAI has once again pushed the boundaries of artificial intelligence with the launch of GPT-4 Turbo, a groundbreaking model that comes with an array of exciting updates and features. This new AI model promises to revolutionize the way we interact with AI, offering enhanced capabilities, higher levels of control, and a wide range of applications. These remarkable announcements were made at OpenAI's Devday conference, where the company shared its latest innovations with the AI community, underscoring their commitment to transparency, collaboration, and cutting-edge technology. In this blog, we will explore the key features and implications of GPT-4 Turbo, as well as the broader updates to OpenAI's AI ecosystem.

Updates concerning GPT-4

1. Context Length: Unprecedented Expansion

GPT-4 Turbo introduces an impressive increase in context length, allowing for a context of up to 128,000 tokens, equivalent to approximately 300 pages of a standard book. This expanded context length empowers users to engage in more in-depth and meaningful conversations with the AI model. It can be particularly valuable for applications like content generation, research, and even storytelling.

2.  High Control: Customized Outputs

One of the standout features of GPT-4 Turbo is the introduction of high control options. Users can now request the model's output in JSON format, making it easier to integrate the AI's responses into various applications and systems. Additionally, OpenAI has introduced reproducible output by allowing users to pass a seed parameter, ensuring that they receive the same results for a given input. This feature is particularly useful for tasks where consistency is paramount.

3.  Knowledge Updates

OpenAI has made significant strides in updating the knowledge base for GPT-4 Turbo. The model now has access to information up until April 2023, ensuring that users can leverage the most up-to-date data for their applications. They have also promised that they’ll keep updating this data as well. Additionally, users can retrieve information from files, making GPT-4 Turbo a versatile tool for data analysis and information retrieval.

4.  New Modalities: DALL·E 3, and TTS Integration

OpenAI has integrated DALL·E 3, the latest version of their image generation model, into GPT-4 Turbo. This integration opens new possibilities for generating text-based content based on images, expanding the creative potential of AI. Moreover, GPT-4 Turbo and Text-to-Speech (TTS) functionality can now be accessed through a single API, streamlining the development of conversational applications. With TTS, users have access to six distinct voices, enhancing the naturalness of spoken output.

5.  Whisper V3 Opensource Model

OpenAI is taking a step towards open-source AI by launching Whisper V3, which is an open-source automatic speech recognition (ASR) system. This model will be available this month and can be instrumental in a wide range of applications, from transcription services to voice assistants.

6.  Customization and Collaboration

OpenAI is offering the opportunity for companies to collaborate and create custom models. While this customization can be a powerful tool, it comes at a higher cost. OpenAI has once again made it clear that they don't train on data received from their enterprise or API customers. This assures a higher degree of data privacy and security.

7.  Higher Rate Limits and Copyright Protection

With GPT-4 Turbo, OpenAI is introducing higher rate limits, making it easier for users to interact with the model. The rate limits are 2x the current limit. Additionally, OpenAI takes responsibility for copyright infringement issues, providing a layer of legal protection for users of the ChatGPT enterprise and API.

8.  Pricing

One of the most significant updates is the pricing structure of GPT-4 Turbo. It is priced at three times less for input tokens and two times less for output tokens, making it a cost-effective option. The blended cost of GPT-4 Turbo is 2.75 times cheaper than GPT-4, making it more accessible for a broader range of applications.

 The GPT Store

OpenAI is introducing a concept similar to app stores on Android and iOS for GPT apps. Users can create custom GPT apps with specific instructions and knowledge and publish them to the OpenAI GPT store. This allows developers to monetize their AI creations and share them with a broader audience. OpenAI will follow a revenue sharing policy, ensuring creators are rewarded for their innovation.

 Assistants API

The Assistant API offers a host of features, enabling users to create assistants with persistent conversation threads, integrated information retrieval systems, code interpretation, and function calling. This opens new avenues for developing sophisticated AI-driven applications and services.

Conclusion

OpenAI's GPT-4 Turbo is a monumental leap in AI innovation, offering enhanced capabilities, customization, and affordability. With an array of new features and updates, it promises to reshape the way we interact with AI and unlock countless possibilities across various industries. The GPT-4 Turbo launch, along with the introduction of the GPT Store and Assistant API, signifies OpenAI's commitment to empowering developers and users with the most advanced AI tools and services. It's an exciting time for the world of artificial intelligence, and GPT-4 Turbo is at the forefront of this revolution.

Tejas Balshetwar

Tejas Balshetwar works as a Member of the Technical Staff on the Data Science team and is well-versed in backend technologies like Flask and Django. Additionally, Tejas has extensive knowledge of Kafka and Elasticsearch, which makes him an expert in data management. During his free time, he enjoys learning about new technologies related to backend and cloud domains.