LLM Architect
1 month ago
Descriptions:
- Design and optimize large language models, devise fine-tuning strategies, and streamline the training process.
- Explore deep learning architectures like Seq2Seq, Transformer, and advanced techniques including Fine-tuning, Prompt Engineering, and Soft Prompting (SFT).
- Develop systems for efficient model training and deployment, involving data preprocessing, parallel training, and resource management.
- Establish performance evaluation systems and monitor training metrics to ensure model quality and iteration efficiency.
Requirements:
- Bachelor degree or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields.
- LLM. AIGC required.
- At least 1 year of relevant experience.
Tell employers what skills you have
JSON
UAT
CSS
XML
SOAP
Application Monitoring
Artificial Intelligence
HTML5
Multilingual
Adobe Analytics
Agile Scrum
Web Applications
Resource Management
jQuery
Digital Asset Management
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