Building Efficient LLM Applications

Transform your prototypes into fast, reliable production systems by mastering RAG, evaluation pipelines, and practical cost and latency optimization techniques. * **Production-ready RAG pipelines** and reliable agent tooling * **Cost and latency optimization** via caching and quantization * **Automated evaluation frameworks** for tracking output quality * **Scalable serving setups** to deploy robust research prototypes

4 sections ยท 12 lessons

Course outline

Serving Architecture

  1. Inference Engines
  2. Continuous Batching
  3. Model Quantization
  4. Serving Architecture

Latency Optimization

  1. Semantic Caching
  2. Token Streaming
  3. Speculative Decoding

Evaluation Pipelines

  1. Automated Benchmarking
  2. Judge Models
  3. Cost Accounting

Production Infrastructure

  1. Model Routing
  2. Failover Systems
  3. Telemetry Tracing

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