What is General Purpose Technology (GPT)?
What is a General Purpose Technology? A technology that possesses the capability to transform civilization on a grand scale. This was the case with the
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What is a General Purpose Technology? A technology that possesses the capability to transform civilization on a grand scale. This was the case with the
Generative artificial intelligence has opened a new chapter in visual creation, and Midjourney stands out as one of the most powerful tools. However, the quality
Artificial intelligence is a fundamental part of our daily lives and its influence continues to grow. The global AI market is projected to expand by
Artificial intelligence is advancing rapidly, with large-scale models like ChatGPT and Gemini demanding robust infrastructures to handle billions of parameters. In response to these growing
Discover DeepSeek Coder V2, the AI that transforms programming. From code generation and debugging to optimization: see how this tool enhances developers’ productivity while minimizing
Phi-4 is the newest language model developed by Microsoft, pushing the boundaries of small language models with no fewer than 14 billion parameters. It’s designed
Discover DeepSeek Coder V2, the AI that’s transforming the landscape of programming. From code generation and debugging to optimization, this tool enhances developers’ productivity while
The Vector Institute is a non-profit organization established in 2017 and headquartered in Toronto, Canada. This organization has emerged as one of the most influential
Imagine a tool that can cut out any object in an image with just a single click. This is made possible with Segment Anything. Thanks
AI-assisted diagnostics, remote consultations, automated appointment scheduling, and more—health services have embraced technological innovations. This is evident in the realm of e-health. By integrating digital
The advent of artificial intelligence is impacting more and more fields. Web search is not excluded from this trend. New AI search engines have given
When the performance of a single model falters in delivering accurate predictions, ensemble learning techniques often emerge as the preferred solution. The most renowned methods,