Almost all of us use a search engine in our daily work. It has become a key tool to get things done. However, as the amount of data grows exponentially, providing high-quality results that truly match user queries becomes more complex. One of the issues that...
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...
A Demo to Experience the Results A previous blog post describes how we can set up a successful GenAI-based assistant/chatbot with minimum data and training/evaluation efforts. The key is building your chatbot using a Verticalized Language Model as base model, rather...
The GenAI community has turned to synthetic data to satisfy its hunger for data. However, it’s done so with significant reluctance, even sometimes assuming that synthetic data is equivalent to “fake data”. This article published by Bloomberg is very good expression of...
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