Multi-agent orchestration is redefining how enterprises deploy AI at scale. The first generation of AI applications concentrated on single-agent applications, a single model, a single prompt loop, and a single decision output. That works well for closed tasks such as … Read More
Scalable AI Systems
From Prompt to Pipeline: Engineering Deterministic Outputs from Non-Deterministic AI Models
Generative AI and large language models (LLMs) have transformed the capabilities of various industries, from contract summaries to AI assistant prompting. These models, however, are non-deterministic in nature, even with their power, i.e., identical prompts will yield varying outputs when … Read More