An AI model that understands natural language and translates it into accurate Elasticsearch queries. This model is based on the Qwen2.5 3B architecture, a compact yet powerful language model known for its efficiency. We fine-tuned this model with 10,000 Elasticsearch query data points to specialize its ability to generate accurate and relevant queries. Our Solution: An AI-Powered Query Generator Our team has developed a solution to this challenge: an AI model that understands natural language and translates it into accurate Elasticsearch queries. This model is based on the Qwen2.5 3B architecture, a compact yet powerful language model known for its efficiency. We fine-tuned this model with 10,000 Elasticsearch query data points to specialize its ability to generate accurate and relevant queries. We’ve employed advanced techniques, including LoRA (Low-Rank Adaptation) to optimize the model for performance and efficiency. Specifically, LoRA reduces the number of trainable parameters by introducing low-rank matrices. This combination allows us to achieve high accuracy while minimizing computational resource requirements. Natural Language Interface: Users can simply describe the data…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: EQuIP-Queries
Теги: qwen2, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 17
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
