混元大模型-精调算法工程师-问答&RAG方向
Tencent
混元大模型-精调算法工程师-问答&RAG方向
Job Description
混元大模型-精调算法工程师-问答&RAG方向
📋 Job Overview
The role focuses on enhancing the knowledge question-answering capabilities of large language models through algorithm design, optimization, and implementation. It involves building and optimizing the RAG (Retrieval-Augmented Generation) system to improve model performance. Additionally, the position requires researching cutting-edge algorithms, tracking industry trends, and contributing to product discussions with technical insights.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.建设RAG体系，对RAG链路中的重要模块进行优化，提升模型的性能效果；
3.调研业界前沿算法，追踪最前沿的技术动态，并应用在相关的项目中；
4.参与产品讨论，基于技术对产品提出改进建议。
🎯 Key Responsibilities
- Responsible for the algorithm design, optimization, and implementation of large language models in knowledge question-answering capabilities
- Build the RAG system and optimize key modules in the RAG pipeline to enhance model performance
- Research cutting-edge algorithms in the industry, track the latest technical developments, and apply them to relevant projects
- Participate in product discussions and provide improvement suggestions based on technical expertise
Locations
- Shenzhen, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Responsible for the algorithm design, optimization, and implementation of large language models in knowledge question-answering capabilities
- Build the RAG system and optimize key modules in the RAG pipeline to enhance model performance
- Research cutting-edge algorithms in the industry, track the latest technical developments, and apply them to relevant projects
- Participate in product discussions and provide improvement suggestions based on technical expertise
Tags & Categories
Answer 10 quick questions to check your fit for 混元大模型-精调算法工程师-问答&RAG方向 @ Tencent.
Related Books and Jobs
混元大模型-精调算法工程师-问答&RAG方向
Tencent
混元大模型-精调算法工程师-问答&RAG方向
Job Description
混元大模型-精调算法工程师-问答&RAG方向
📋 Job Overview
The role focuses on enhancing the knowledge question-answering capabilities of large language models through algorithm design, optimization, and implementation. It involves building and optimizing the RAG (Retrieval-Augmented Generation) system to improve model performance. Additionally, the position requires researching cutting-edge algorithms, tracking industry trends, and contributing to product discussions with technical insights.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.建设RAG体系，对RAG链路中的重要模块进行优化，提升模型的性能效果；
3.调研业界前沿算法，追踪最前沿的技术动态，并应用在相关的项目中；
4.参与产品讨论，基于技术对产品提出改进建议。
🎯 Key Responsibilities
- Responsible for the algorithm design, optimization, and implementation of large language models in knowledge question-answering capabilities
- Build the RAG system and optimize key modules in the RAG pipeline to enhance model performance
- Research cutting-edge algorithms in the industry, track the latest technical developments, and apply them to relevant projects
- Participate in product discussions and provide improvement suggestions based on technical expertise
Locations
- Shenzhen, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Responsible for the algorithm design, optimization, and implementation of large language models in knowledge question-answering capabilities
- Build the RAG system and optimize key modules in the RAG pipeline to enhance model performance
- Research cutting-edge algorithms in the industry, track the latest technical developments, and apply them to relevant projects
- Participate in product discussions and provide improvement suggestions based on technical expertise
Tags & Categories
Answer 10 quick questions to check your fit for 混元大模型-精调算法工程师-问答&RAG方向 @ Tencent.
Related Books and Jobs