LLM Architecture & Optimization
- Design and implement multi-model LLM architectures for real-time sentiment analysis
- Optimize model performance for processing high-volume social media data
- Develop sophisticated prompt engineering strategies for improved accuracy
- Create robust validation frameworks for model outputs
- Implement efficient model deployment strategies for production environments
Sentiment Analysis Development
- Build advanced sentiment analysis systems for financial market events
- Develop classification systems for market-moving events
- Create sophisticated clustering algorithms for social media data
- Design systems for real-time sentiment scoring
- Implement context-aware sentiment analysis solutions
Model Validation & Testing
- Design comprehensive testing frameworks for LLM outputs
- Develop backtesting systems for sentiment analysis models
- Create validation protocols for historical data analysis
- Implement A/B testing frameworks for model comparison
- Build performance monitoring systems for production models
Research & Development
- Conduct research into the latest LLM developments and applications
- Explore innovative approaches to financial sentiment analysis
- Develop novel prompt engineering techniques
- Create new methodologies for market event classification
- Research efficient ways to handle real-time social media data