Introduction

Advanced language models like ChatGPT undoubtedly have impressive capabilities when it comes to generating human-like text and answering questions. However, it is important to understand that these models only possess general knowledge and do not have access to context-specific information. Additionally, they are often based on older knowledge, which means they may not have the most up-to-date information.

Introduction

Advanced language models like ChatGPT undoubtedly possess impressive capabilities in generating human-like text and answering questions. However, it’s crucial to understand that these models rely on general knowledge and lack access to context-specific information. Furthermore, they often operate on older knowledge bases, meaning they may not have access to the latest information.

Einleitung

In der Welt der künstlichen Intelligenz (KI) haben sich große Sprachmodelle wie GPT (Generative Pre-trained Transformer) als leistungsstarke Werkzeuge für eine Vielzahl von Anwendungen etabliert. Unternehmen sollten jedoch vorsichtig sein, sich zu stark auf diese Modelle zu verlassen. Während sie Genauigkeit und Skalierbarkeit bieten, haben sie auch ihre Grenzen. Sie können aufgrund von Einschränkungen bei den Trainingsdaten voreingenommene oder falsche Antworten liefern und sind nicht in der Lage, den menschlichen Kontext und Feinheiten vollständig zu verstehen.

Introduction

Large language models like GPT (Generative Pre-trained Transformer) have become powerful tools for a wide range of applications in the artificial intelligence (AI) world. However, companies should be cautious about relying too heavily on these models. While they offer accuracy and scalability, they also have limitations. They may produce biased or incorrect responses due to limitations in their training data, and they are not capable of fully understanding human context and nuances.

The Problem: 75% of Companies Ban ChatGPT

Despite initial enthusiasm for generative AI tools like ChatGPT, companies are restricting their use due to growing data privacy and cybersecurity concerns. The primary worry is that these AI tools store and learn from user data, potentially leading to unintended data breaches. Although OpenAI, the developer of ChatGPT, offers an opt-out option for training with user data, the handling of data within the system remains unclear. Furthermore, clear legal regulations regarding responsibility for AI-caused data breaches are lacking. Consequently, companies are hesitant and waiting for the technology and its regulation to evolve.