LLMOps: Turning Chatbots into Production-Grade Systems
Aaron Wise
LLMOps is the essential framework for transforming experimental chatbots into reliable, production-ready systems.
Tag
prompt engineering
MLOps vs. LLMOps: Choosing Between MLOps and LLMOps for Business Impact
Aaron Wise
MLOps industrializes predictive models, while LLMOps operationalizes large language models for generative tasks.
From Prompts to Platforms: The Blueprint for Modern AI Systems
Aaron Wise
Modern AI systems use RAG, agentic loops, and prompt chaining to build scalable, reliable platforms.
Remember Me? Architecting Memory with Model Context Protocol Servers
Aaron Wise
MCP servers provide structured memory management for LLMs, enabling persistent context across sessions and tasks.
LLM Ops: Turning Prompt Chaos into a Fine-Tuned Machine
Aaron Wise
Prompt engineering evolves into a pipeline with templating, version control, and feedback loops to replace ad hoc hacks.
Prompt and Circumstance: The Art and Science of Teaching Large Language Models
Aaron Wise
Few-shot prompting lets teams guide AI with examples, not retraining, by shaping clear tasks and patterns in real time.