LLM

Large Language Models have transformed how we think about AI applications, but building production-ready systems requires more than just an API call to GPT-4. In this post, I’ll share some lessons learned from deploying LLM-powered applications at scale. The Reality Check When you’re prototyping, it’s easy to get excited about the capabilities of modern LLMs. But production is a different beast. You need to think about latency, cost, reliability, and security—all while maintaining the quality that makes these models useful in the first place. ...