Before learning about prompt engineering, I assumed that interacting with AI was as simple as asking a question and receiving an answer. While that is true to some extent, I soon discovered that the quality of the response often depends on how the prompt is written. Through the Craft Precise...
Just to add to my original question, I’ve been exploring different approaches around workload distribution and consistency across environments. One thing that stands out is how important it is to treat hybrid setups as a single system rather than separate pieces. From what I’ve seen, hybrid...
Introduction Starting with IBM Instana Observability 1.0.312, the LLM Observability architecture has been simplified . Previously, sending Metrics required a separate service called OTel Data Collector for GenAI (ODCG) , but this is no longer necessary. What Changed: Old: Traces...
Hi everyone, I’m currently working on an infrastructure setup that uses IBM Cloud services alongside on-prem servers. As the number of workloads grows, I’ve noticed performance inconsistencies, especially during peak times. It’s challenging to balance resource allocation without over...
Wrapping up my series on decision agents, here’s the third post. How AI Agents and Decision Agents Combine Rules & ML in Automation Building Decision Agents with LLMs & Machine Learning Models Designing AI Decision Agents with DMN, Machine Learning & Analytics [this...