OpenAI Launches GPT-4 Turbo with Customizable ChatGPT


The Gist

  • Turbocharged ChatGPT. GPT-4 Turbo extends AI’s reach with context handling, paving the way for deeper, more meaningful user interactions.
  • Your GPT is ready. Customizable GPTs democratize AI creation, allowing anyone to tailor AI to their needs and potentially monetize their innovations.
  • What you see and hear is what you get. With vision and sound capabilities, GPT-4 Turbo broadens the scope of interactive AI, offering new dimensions in customer engagement and accessibility.

OpenAI CEO Sam Altman unveiled the latest iteration of the company’s language model, GPT-4 Turbo, during the company’s DevDay event in San Francisco today. The update introduces six major enhancements designed to improve user interaction, extend the model’s capabilities and reduce costs for developers.

OpenAI also announced the rollout of customizable versions of ChatGPT, called GPTs, allowing users to create and share AI tailored to specific tasks or interests, without the need for coding skills. These custom AI models can assist with everyday tasks, learning or entertainment and will be available for public creation and sharing.

OpenAI is also launching the GPT Store, where the community’s creations can be featured and monetized based on usage. The company emphasizes that GPTs are built with privacy and safety in mind, ensuring user data control and compliance with usage policies to prevent the dissemination of harmful content. In addition, OpenAI has highlighted that GPTs will become more intelligent over time and can eventually function as “agents” in the real world, with careful consideration of societal implications.

Altman outlined the improvements which include a substantial increase in context length, more control for developers through new features like JSON load and reproducible outputs, and updated world knowledge extending to April 2023. He also announced new modalities in the API, such as vision and text-to-speech capabilities, and detailed a commitment to customization and scalability with higher rate limits and significantly lower pricing.

Microsoft CEO Satya Nadella joined Altman, highlighting the pivotal role of Microsoft’s Azure in supporting the advanced infrastructure required for these expansive AI models and emphasizing the shared mission of democratizing AI access while ensuring safety and responsible AI use. This partnership signals a concerted effort to push the boundaries of what AI can accomplish and marks a new chapter in the industry’s rapid evolution.

Let’s take a look at the six particular features of GPT-4 Turbo highlighted by Altman in his keynote and potential impact for marketers and customer experience leaders:

GPT-4 Turbo: Pioneering Deep Contextual AI Interactions

GPT-4 Turbo can handle up to 128,000 tokens of context, which is equivalent to about 300 pages of a standard book. This is a substantial increase from the previous limit, allowing for more extensive interactions and better memory over long conversations. The model’s accuracy over long contexts has also been improved, according to Altman.

The ability to process up to 128,000 tokens allows for maintaining longer customer interactions, which can be instrumental in customer service bots and interactive marketing campaigns where deeper context and prolonged engagement are beneficial.

Related Article: ChatGPT Enterprise Unveiled: OpenAI’s Latest Power Play

Precision and Structure: Enhanced Control Over AI Responses

Developers have been given greater control over the model’s responses and outputs. New features include “JSON load,” which ensures responses in valid JSON format, simplifying API interactions. The model has enhanced function calling abilities, can execute multiple functions simultaneously, and offers “reproducible outputs” for consistent results with the same parameters. Additionally, an upcoming feature will enable viewing log problems in the API.

Features like JSON load and reproducible outputs mean that marketing and customer experience applications can offer more consistent and structured interactions. This can improve the reliability of chatbots and other AI-driven communication tools.


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