Machine learning, LLM operations, and practical AI engineering.
Learn how to containerize and deploy LangChain applications in production. Best practices for scaling, monitoring, and maintaining AI-powered services.
A deep dive into managing stateful LLM workloads, scaling inference endpoints, and optimizing GPU utilization in a cloud-native environment.
Optimization techniques like LoRA and 4-bit quantization to run state-of-the-art models locally.
