Since the public unveiling of ChatGPT, there has been speculation that it could pose a threat to Google and other search engines. Some even went as far as to claim that it could end Google’s supremacy as the leading search engine online and act as a Google Killer. However, the idea that generative AI will make search irrelevant is a misconception.
In fact, Google has launched Bard, its own generative AI, which complements search rather than competes with it. Bard represents Google’s entry into the generative AI market and is an enhancement to search. This distinction is crucial for organizations as they seek to gain a competitive edge in their industries.
While ChatGPT is suitable for completing and automating mundane tasks, it struggles in fact-based and nuanced contexts because it lacks an understanding of the real world. Approaching ChatGPT with search as a source of pre-existing information improves its accuracy, traceability, and up-to-date information, and eliminates ChatGPT’s shortcomings.
Search is essential as it provides better quality information and is the most effective way to make a GLLM (Generative Language Learning Model) aware of enterprise-specific information. ChatGPT and other GLLMs are trained on public content sourced from the internet, which does not include the knowledge contained within an organization. Training or fine-tuning these models on enterprise content is difficult, time-consuming, and expensive. Utilizing enterprise search is the ideal solution for providing organization-specific knowledge to a GLLM. This way, employees only see the information they have permission to access, and the GLLM gets the most relevant source material for its answer regardless of source, format, or language.
Combining the power of intelligent search with GLLMs such as ChatGPT means employees can now converse with their content, increasing effectiveness, accelerating innovation, and boosting employee engagement.
The developments in generative AI models are expected to continue growing in the next few years, particularly in the enterprise. However, without a foundation of concise, accurate, and relevant knowledge, GLLMs will struggle to meet their potential. Nevertheless, the combination of intelligent search and GLLMs is an invaluable tool for enterprises in almost any language-oriented application.
