•1 min read•from InfoQ
Presentation: Beyond Prompting: Context Engineering for Production-Grade AI
Ricardo Ferreira discusses moving beyond simple prompt engineering to build production-grade AI applications. He shares practical architectural strategies for integrating long-term and short-term memory using Redis, managing LLM token limits via summarization, mitigating context rot with reranking and semantic caching, and controlling exponential API costs under strict latency constraints.
By Ricardo FerreiraWant to read more?
Check out the full article on the original site
Tagged with
#Context Engineering
#Production-Grade AI
#Prompt Engineering
#LLM
#Redis
#Large Language Models
#Token Limits
#Summarization
#Context Rot
#Reranking
#Semantic Caching
#API Costs
#Latency Constraints
#Short-Term Memory
#Long-Term Memory
#Architectural Strategies
#AI Applications
#Integration
#Memory Management
#Cost Optimization