OpenAI’s latest model has 1.8 trillion parameters and required 30 billion quadrillion FLOPS to train

  • Editor
  • March 19, 2024

In a striking development that sets a new benchmark in the field of artificial intelligence, OpenAI has introduced its most advanced model yet, boasting an astonishing 1.8 trillion parameters. This revelation, made at today’s GTC event by Jensen Huang, CEO of a leading tech firm, underscores the monumental scale of effort and computational prowess required to advance AI technology to new heights.

This new model, which remains unnamed, represents the pinnacle of current AI capabilities, eclipsing previous records in both size and complexity. The sheer volume of parameters—a staggering 1.8 trillion—highlights the intricate detail and potential for nuanced understanding and response that this model can achieve.

The training process for such an extensive model is equally impressive and daunting. Huang mentioned that even with a petaflop GPU, a unit of computing speed that signifies one quadrillion floating-point operations per second (FLOPS), it would take a millennium to complete the training. This statement not only showcases the immense computational resources required but also illustrates the exponential growth in AI’s demands on technology.

People do have some queries to ask:

The specifics of which model holds the title—be it GPT-4, Claude Opus, Gemini-1.5, or another as-yet-unannounced creation—remains a subject of speculation.

However, the mention of the necessity to increase the token count when doubling the parameter count provides insights into the engineering challenges and considerations in developing such advanced AI systems.

Given that GPT-4-Turbo is not particularly known for its token count, this could hint at other models such as Gemini-1.5 or Claude being the potential record-holder.

This groundbreaking advancement raises questions about the future of AI development, the computational limits of current technology, and the practical applications of such powerful models.

It also opens discussions on the ethical considerations and responsibilities that accompany the creation and deployment of advanced AI systems.

As the AI community and tech enthusiasts alike ponder the implications of OpenAI’s latest feat, the industry stands at the brink of a new era. This development not only exemplifies the rapid pace of innovation in AI but also challenges the boundaries of what is computationally possible, setting the stage for further groundbreaking discoveries in the field.

For more news and insights into the tech and artificial intelligence world, visit AI News on our website.

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Dave Andre


Digital marketing enthusiast by day, nature wanderer by dusk. Dave Andre blends two decades of AI and SaaS expertise into impactful strategies for SMEs. His weekends? Lost in books on tech trends and rejuvenating on scenic trails.

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