OpenAI Unveils GPT-4 Turbo
The GPT-4 Turbo is not only a technological leap forward but also offers affordability. It’s priced at just $0.01 per 1,000 input tokens, which is approximately 750 words. When it comes to output tokens, the cost is $0.03 per 1,000 tokens. For those exploring image-processing capabilities, pricing depends on the image size. For example, processing an image with dimensions of 1080×1080 pixels will cost a mere $0.00765. This represents a remarkable cost reduction of 3x for input tokens and 2x for output tokens when compared to GPT-4.
Features of the GPT-4 Turbo:
1. More Recent Knowledge: GPT-4 Turbo’s knowledge is up-to-date until April 2023, ensuring better responses to recent events and information.
2. Expanded Context Window: Boasting a 128,000-token context window, GPT-4 Turbo surpasses its predecessors and competitors, enabling more context-aware responses.
3. JSON Mode: GPT-4 Turbo supports JSON output, facilitating data interchange and display in web applications.
4. Instruction Following: The model excels at tasks requiring precise instruction, including generating specific formats and function parameters.
One of the standout features of GPT-4 Turbo is its extensive knowledge base. While it’s a statistical tool that predicts words, it stands out for its ability to provide up-to-date information. GPT-4 Turbo has been trained on data up to April 2023, making it more informed about recent events and capable of providing highly accurate responses. For example, if you’re seeking answers about events that occurred before the knowledge cut-off date, GPT-4 Turbo delivers remarkably precise information.
The model also boasts a significantly expanded context window, a feature crucial for staying on topic during conversations. With a colossal 128,000-token context window, it outshines other commercially available models. This feature ensures that GPT-4 Turbo doesn’t “forget” important information during conversations, enhancing the overall user experience. The larger context window allows for more natural and coherent interactions.
OpenAI has taken a step further by introducing a “JSON mode” to enhance the model’s compatibility with web applications. This mode guarantees that the model’s responses are in valid JSON format, making it extremely useful for applications that involve transmitting data from servers to clients. Additionally, developers can benefit from new parameters that help the model provide consistent responses, a vital aspect for various applications. Furthermore, for niche applications, GPT-4 Turbo can provide log probabilities for the most likely output tokens generated.
A significant aspect of this AI model is its improved performance in tasks that require precise adherence to instructions, such as generating specific formats. For instance, it can be instructed to “always respond in XML,” and it carries out this command effectively. GPT-4 Turbo excels at providing the right function parameters, contributing to a seamless and efficient user experience.
OpenAI is not leaving its predecessor, GPT-4, behind. In a move to fine-tune GPT-4, OpenAI has launched an experimental access program. While the fine-tuning process for GPT-4 Turbo requires more effort to achieve meaningful improvements over the base model compared to its predecessor, this demonstrates OpenAI’s commitment to continually enhancing its AI models.
To further benefit customers, OpenAI has doubled the tokens-per-minute rate limit for all paying GPT-4 users. The pricing structure remains competitive, with GPT-4 priced at $0.03 per input token and $0.06 per output token for models with an 8,000-token context window. For models with a 32,000-token context window, the pricing is $0.06 per input token and $0.012 per output token.
With the introduction of GPT-4 Turbo, OpenAI is reshaping the landscape of AI text generation. This groundbreaking development combines powerful capabilities, cost-effectiveness, and enhanced knowledge to provide an unparalleled AI experience. As GPT-4 Turbo takes center stage, OpenAI remains at the forefront of innovation in the AI industry, continually pushing the boundaries of what’s possible. The future of AI has never looked more promising.
