RAG vs Fine-Tuning: Choosing the Right LLM Approach for Your Product
Both RAG and fine-tuning improve LLM performance on your specific use case — but they solve different problems. Here's how to choose.
AI Engineering Insights
Technical perspectives on AI product development — from architecture decisions to domain-specific implementation patterns.
MLOps Patterns for Financial Services: What's Different
Standard MLOps practices need significant adaptation for regulated financial environments. Model explainability, audit trails, and compliance workflows change everything.
AI Product Strategy in 2025: What the Leaders Get Right
The companies that win with AI don't have better models — they have better product strategy. An analysis of what separates AI-first companies from the rest.
Validating Clinical AI: What FDA SaMD Guidance Means for Your Product
The FDA's AI/ML-based Software as a Medical Device framework has real implications for how you build, test, and document your clinical AI system.
Building Recommendation Systems That Actually Convert
Most product recommendation engines underperform because they optimize for click-through rather than purchase intent. Here's the architecture that changes that.
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