AI is finding it's way in a wide variety of applications pertaining to almost every industry. This AI driven rapidly evolving landscape has created a demand for a unique blend of technical, creative, and interpersonal skills highly sought-after by employers. Listed below are some specialized AI-related skills that are becoming increasingly valuable in the modern times. 1. AI Models Development Understanding how AI and ML work including the underlying algorithms, and learning to develop ML powered apps using tools like TensorFlow or PyTorch is a highly desirable skill to master in the age of AI. Furthermore, the skills in fine-tuning and adapting large pre-trained models (like GPT, BERT, or Vision Transformers) to specific use cases are also useful, allowing you to create specialized applications without starting from scratch. Leveraging pre-trained models and adapting them to new tasks with limited data is particularly useful in NLP and computer vision. 2. AI Models Deployme...
The relationship between regulatory policies and innovation in technology is complex and can vary depending on the nature of the regulation, the industry, and the specific technology in question. S ome people argue that regulations hinder innovation by introducing extra costs and constraints to the business, others believe that well-crafted regulations can actually drive innovation by establishing standards, improving product quality, promoting competition and enforcing ethical practices. P olicy makers must meticulously craft regulations that provide a good trade-off between the need for social and environmental protection and the goal of promoting innovation and competitiveness. Here’s an overview of how regulatory policies can both hinder and foster innovation: