Binance Accelerator Program - LLM Model Training & Data Processing
Tasks
- Build memory modules for AI agents
- Conduct experiments
- Define labeling guidelines
- Design data annotation pipelines
- Develop optimize AI agents
- Document research findings
- Evaluate large language models
- Explore new AI frameworks
- Fine-tune large language models
- Implement data quality control
- Improve model robustness
- Improve scalability
- Optimize model performance
- Perform data analysis
- Perform prompt engineering
- Test new tools
- Train large language models
Perks/Benefits
Skills/Tech-stack
Data Analysis | Data Annotation | Data Quality | Data labeling | Data quality control | Deep learning | Experimentation | Fine Tuning | Language Models | Large Language Models | LoRA | Machine Learning | Model Evaluation | Prompt engineering | Python | QLoRA | Quality Control | Transformer Models
Education
Regions
Countries
States
Cities
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