Building a ChatGPT‑Based Intelligent Customer Service System with BERT Classification and Knowledge Filtering

This article describes how to construct an intelligent customer‑service assistant using ChatGPT for natural‑language understanding, BERT for user‑question classification, and Sentence‑BERT for knowledge‑selection, detailing system architecture, prompt design, model training, performance results, and practical cost reductions.

BERTChatGPTIntelligent Customer Service

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Building a ChatGPT‑Based Intelligent Customer Service System with BERT Classification and Knowledge Filtering

Code DAO

Dec 14, 2021 · Artificial Intelligence

Semantic Search on Wikipedia with Weaviate, GraphQL, Sentence‑BERT, and BERT Q&A

This article walks through building a large‑scale semantic search system on the English Wikipedia using the Weaviate vector database, GraphQL queries, and pre‑trained Sentence‑BERT and BERT Q&A models, covering dataset preparation, schema design, import pipelines, query examples, and production deployment strategies.

GraphQLSentence-BERTWeaviate

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Semantic Search on Wikipedia with Weaviate, GraphQL, Sentence‑BERT, and BERT Q&A

Baidu Geek Talk

Sep 13, 2021 · Artificial Intelligence

Upgrading WanFang Academic Paper Retrieval System with PaddleNLP

WanFang upgraded its academic paper retrieval system by adopting PaddleNLP’s Chinese pre‑trained Sentence‑BERT models, using weakly supervised SimCSE data and Milvus vector indexing, compressing the transformer for TensorRT‑accelerated inference, achieving 70% better matching quality and 2600 QPS latency‑optimized performance.

Model DeploymentPaddleNLPSentence-BERT

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Upgrading WanFang Academic Paper Retrieval System with PaddleNLP