Sharing insights, lessons learned, and practical guides from building production ML systems
Exploring how Large Language Models are revolutionizing forecasting tasks, from time series prediction to market analysis, and what this means for data scientists.
A comprehensive guide to understanding and mitigating security risks in production LLM deployments — from prompt injection to data leakage and beyond.
A technical deep dive into MCP — the emerging protocol that's transforming how AI models connect with external systems, databases, and enterprise tools.
A deep dive into architecting and scaling Retrieval Augmented Generation systems, covering vector databases, prompt engineering, and cost optimization strategies.
How we fine-tuned Llama 3 for content optimization at Gartner, including dataset preparation, training strategies, and evaluation metrics.