In an era defined by the data revolution, the field of data analytics has become the backbone of decision-making across industries. As organizations strive to harness the power of data, the role of data and analytics professionals has evolved into one of paramount importance. The “Data Science Skill Study 2023” by AIM-Research delves into the multifaceted landscape of these professionals, shedding light on their skills, preferences, and the ever-evolving trends that shape their work.

In recent years, the field of text-based generative artificial intelligence (AI) has witnessed remarkable advancements, revolutionizing natural language processing and generating human-like textual content. These AI models, such as GPT-3, have demonstrated unprecedented capabilities in generating coherent stories, answering questions, and even simulating human conversation.

However, within this realm of immense promise, lie substantial challenges and obstacles that demand prudent navigation. As text-based generative AI achieves unprecedented capabilities, it simultaneously encounters complex roadblocks that necessitate careful consideration. These challenges encompass a range of intricate issues that span from accuracy and coherence to ethical considerations and contextual understanding.

This report aims to explore and dissect the major roadblocks encountered in the domain of text-based generative AI and present effective strategies to overcome them.