In today’s world, speed and efficiency are of the utmost importance. Businesses strive to automate their processes as much as possible. BUSINESSWARE TECHNOLOGIES is at the forefront of this revolution, actively researching and implementing the capabilities of large language models (LLM) to solve a wide variety of business problems. AI benchmark is conducted in accordance with all the rules.
Deep LLM testing for real business scenarios
Here we understand that for successful implementation of LLM in business processes, a thorough and comprehensive approach to their testing is necessary. That is why BUSINESSWARE TECHNOLOGIES conducts systematic and deep testing of large language models. Everything is focused on the tasks that real businesses face. The approach is based on the use of extensive and diverse data sets that are as close as possible to those that companies encounter in their daily activities.
Efficiency assessment: accuracy and completeness of data discovery
The main focus of testing is on assessing the effectiveness of AI models in data extraction tasks. A thorough analysis is carried out of how accurately and completely the models are able to detect and extract the necessary information from documents. These are the following points:
- Extraction accuracy. How correctly the model identifies and extracts specific data (for example, amounts, dates, names, addresses, contract terms). The percentage of correctly extracted data is assessed and errors are minimized.
- Detection completeness. How completely the model covers all the necessary information in the document. It is important that the model does not miss key data that may be critical for the business process.
- Processing complex structures. The ability of models to work with documents that have a complex layout, tables, lists, footnotes, as well as with documents where the information is presented in an unstructured form is checked.
- Multilingualism. Since many companies operate internationally, special attention is paid to testing models in different languages. Their ability to understand and process texts in different languages is assessed, taking into account their cultural and linguistic features.
At BUSINESSWARE TECHNOLOGIES we strive not only to test technologies, but also to offer clients ready-made, proven solutions for automating their business. Experience and deep understanding of market needs allow the company to select and adapt the most effective LLMs for specific tasks!
