2. Natural language interface

CESAR1320 Large language models also create natural language interfaces for industrial automation systems, so that operators can interact with these systems using only human languages, without the need for specialized programming languages. One of the key applications of natural language interfaces is the use of natural language commands to access existing documents, such as technical product information. In many industries, operators and maintenance CESAR1320 personnel must manually search for information in product documentation. Some of them are even paper documents! However, as documents are digitized and transferred to secure specific large language models, these tools can be used to quickly ask questions and find answers. For example, “What is the CESAR1320 meaning of error code 8975?” How to fix it?” This kind of question can be easily answered. The key is to use a specific large language model that is secure. These models should only extract answers from audited and officially available manuals, technical notes, and source code.

CESAR1320

CESAR1320 A common challenge faced by industrial companies is that industry knowledge may only be held by a specific group of people. This has changed, though, with the digitization of assets, the digitization of working practices, and the changing demographics of the workforce. But in many factories, there are still situations where machines or assets fail and the only person who knows how to fix them is not on duty. Imagine how much time and productivity would be saved if on-duty maintenance personnel could troubleshoot, access documents, and (with security measures in place) fix faults with the help of artificial intelligence through voice commands?

Virtual assistants for technical support are another CESAR1320 application scenario where natural language interfaces with large language models can bring value to industry. Industrial companies that provide highly specialized and customized support to customers over the phone, such as machine manufacturers working with industrial end users, can take this invisible knowledge and feed it into specific large language models that virtual assistants can leverage to enhance the customer experience and effectively reduce problem-solving time. The same applies to the creation of user manuals and documentation for machines, automated products and systems. Creating these critical documents using a large language model saves time for application engineers, allowing them to apply their knowledge and skills to developing better machines, products, and systems that improve quality and reduce time to market.