A robust discussion persists within the technical and academic communities about the suitability of LLMs for tasks like Named Entity Recognition (NER). While LLMs have demonstrated extraordinary capabilities across a wide range of language-related tasks, several...
On November 19, the Beyond Search Web log published a brief analysis of our multilingual NER (Named Entity Recognition system) technology. The post highlighted the challenges of handling Chinese personal names in English to enable accurate and consistent...
ChatGPT Enterprise: OpenAI’s Game-Changer for Businesses In a groundbreaking move, OpenAI has introduced ChatGPT Enterprise, reshaping the realm of AI and its profound impact on businesses. This advanced platform offers features that drive creativity,...
Empower Your Business with Question and Answer Datasets Revolutionizing Business Operations: LLM and AI Unleashed In today’s fast-paced business landscape, the fusion of Artificial Intelligence (AI) and Large Language Models (LLMs) is redefining how industries...
In a previous post, we conducted a comprehensive benchmark on the role of synthetic text generation for intent detection using traditional Natural Language Understanding (NLU) platforms. In that study, we specifically examined the performance of Rasa as an example,...
We have shown in previous posts why Synthetic Training Data is the best way to boost the accuracy of any chatbot, and the solution to the most important problem of chatbots nowadays: data scarcity, namely, the lack of accurate and useful training data for the problems...
Recent Comments