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...
Generative AI is transforming the landscape of software development by automating coding tasks, improving software quality, and enhancing developer productivity. With advancements in Large Language Models (LLMs) like OpenAI’s GPT, Google’s Gemini, and Meta’s Llama, Generative AI is proving to be a game-changer in how software is written, debugged, tested, and maintained. Software developers and tech companies must stay abreast with the current trends in AI technology and incorporate AI tools in their environment to stay competitive, stable and profitable. In this blog post, we explore the key applications of Generative AI in software development, the benefits it brings, and how developers can leverage this technology to streamline their workflows.