Should AI models be like Swiss Army knives, versatile and handy in a variety of scenarios? Or do we prefer them as precision tools, finely tuned for specific tasks? In the world of artificial intelligence, and natural language processing specifically, this is an ongoing debate. The question boils down to whether models trained for specific tasks are more effective at these tasks than general models. Task-specific models: specialization and customization In my last blog post , we looked at the rise of personalized LLMs, customized for specific users. Personalized LLMs can be seen as an extreme form of task-specific model. Fans of task-specific models stress that these kinds of models are better suited for tasks involving confidential or proprietary data. This is obviously true. But some people also believe that specialized models necessarily perform better in their specific domains. It may sound logical, but the ans...
"Things fall apart; the center cannot hold / Mere anarchy is loosed upon the world." - William Butler Yeats Artificial Intelligence (AI) and blockchain technology have emerged as two groundbreaking forces revolutionizing their respective domains. AI has taken leaps in transforming industries with its ability to automate tasks, extract insights from data, and make intelligent decisions. Meanwhile, blockchain has disrupted traditional systems by enabling decentralized and transparent transactions, ensuring trust, and establishing immutable records. The convergence of these two cutting-edge technologies opens up new possibilities extending beyond their individual capacities. This post will explore one of the intersections of AI and blockchain, namely ways in which blockchain is being harnessed to develop AI itself. Specifically, we will look at a platform called SingularityNET and some of the exciting pro...