Insights on AI engineering, machine learning systems, and lessons learned from building intelligent applications.
A deep dive into the challenges of deploying Retrieval-Augmented Generation systems at scale, from vector database optimization to handling edge cases in real-world queries.
Moving past simple prompting strategies to explore chain-of-thought, few-shot learning, and meta-prompting techniques that unlock GPT-4o's full potential.
How we achieved 95% classification accuracy on surveying data using custom neural networks, and the lessons learned from processing millions of points.
After months of wrestling with abstractions, I decided to build my own agent framework. Here's what I learned about the tradeoffs between convenience and control.