Data Scientist - LLM Applications & RAG Systems
LLM Applications & RAG Systems for Data Scientist: A comprehensive guide to mastering LLM Applications & RAG Systems as a Data Scientist. Learn recommended tools, practical applications, and resources to develop this critical AI skill.
Modern AI/ML foundations including LLM applications, advanced frameworks, and model optimization techniques.
Cutting-edge AI techniques including multimodal AI, reinforcement learning, and federated learning systems.
Building scalable AI infrastructure, MLOps pipelines, and production-ready AI systems with monitoring.
AI-enhanced data engineering including vector databases, real-time pipelines, and intelligent data quality systems.
Research implementation, AI safety, and contributing to the advancement of AI technology and ethics.
LLM Applications & RAG Systems
Building RAG systems, fine-tuning LLMs, implementing AI agents, and creating robust prompt engineering frameworks for enterprise applications.
- Build RAG systems for enterprise knowledge bases
- Fine-tune LLMs for domain-specific applications
- Implement AI agents and multi-step reasoning workflows
- Create prompt engineering frameworks for consistent outputs
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