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It is reported that pinduoduo has entered the field of large models, recruiting troops with an annual salary of one million.

2024-03-04 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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Shulou(Shulou.com)11/24 Report--

CTOnews.com, Nov. 22, according to Tech Planet, pinduoduo has set up a large AI model team of dozens of people, which is located in Shanghai.

According to reports, pinduoduo's large model team will explore the application of AI models in customer service, dialogue and other scenarios, and will be extended to its cross-border e-commerce platform TEMU intelligent customer service, search, recommendation and other business scenarios. At present, the whole process is still in the stage of research and development.

CTOnews.com query found that pinduoduo's official job catalogue has appeared in the fields of LLM and NLP algorithm, most of which are located in Changning District, Shanghai, with salaries ranging from 30 to 60K, including 50 to 80K and 16 salaries.

Among them, a position called "large Model algorithm" says: requires in-depth understanding and practice of LLM, multimodal and multilingual, practical application or project experience in model pre-training, performance tuning, content generation; familiar with common deep learning algorithms, such as LSTM, Bert, etc., familiar with TenserFlow, PyTorch, Keras, MxNet, etc.

According to reports, this position is mainly responsible for:

Responsible for the research, training and application of large-scale pre-training model (LLM), including but not limited to multilingual, multimodal, model tuning, deployment optimization, etc.

Responsible for data preprocessing, feature engineering, model training, model evaluation to ensure the efficiency, accuracy and stability of the model.

Use cutting-edge technologies such as deep learning to carry out dialogue / text / image understanding work to explore the large-scale application of large models in customer service scenarios.

Follow up and study the latest progress of the large model industry, and keep the technology advanced at all times.

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