Research
Understanding Large Language Models: A Deep Dive
Exploring the architecture, training processes, and capabilities of modern LLMs. From transformer attention mechanisms to fine-tuning strategies.
Read MoreThoughts on artificial intelligence, machine learning, and the future of technology. Sharing insights from my research and practical experience.
Exploring the architecture, training processes, and capabilities of modern LLMs. From transformer attention mechanisms to fine-tuning strategies.
Read MoreHow to design and implement multi-agent systems that work together effectively. Lessons learned from building distributed AI architectures.
Read MoreImplementing RLHF in practice: from data collection to model training. Real-world challenges and solutions for aligning AI with human values.
Read MoreAdvanced techniques for building robust RAG systems. Knowledge graph integration, hybrid retrieval, and evaluation strategies.
Read MoreEssential tools and techniques for modern data science. From exploratory data analysis to production deployment.
Read MoreBest practices for taking AI models from research to production. Monitoring, testing, and maintaining ML systems in the real world.
Read MoreI'm working on creating detailed blog posts about my research and experiences in AI/ML. Subscribe to get notified when new content is published!