What is LLM Orchestration?
The process of coordinating large language models (LLMs), tools, and workflows to accomplish complex tasks.
More about LLM Orchestration:
LLM Orchestration refers to the coordination and management of large language models, tools, and external resources to execute advanced tasks or workflows. It typically involves tool integration, context injection, and sometimes chaining or routing between multiple LLMs or APIs.
LLM orchestration is crucial for building production-grade AI agents, supporting agentic workflows, and ensuring robust, scalable multi-step automation.
Frequently Asked Questions
What are common components in LLM orchestration?
Components include task routers, system prompts, API rate limiting, and tool management modules.
What challenges does LLM orchestration solve?
It enables complex multi-tool workflows, context-aware automation, and scalable agentic architectures.
From the blog
Using AI to make learning personal and increase your online course sales
Incorporating AI into your courses allows you to create a personalized learning environment that adapts to each student's needs. This personal touch doesn't just improve the learning experience; it also makes your courses more attractive and can increase sales. Let's explore how AI can make online courses more personal and commercially successful.
Herman Schutte
Founder
Revolutionizing University Engagement with AI Chatbots: A Look at SiteSpeakAI
Explore how universities are leveraging AI chatbots to enhance student engagement and streamline administrative tasks. Discover SiteSpeakAI, a tool that trains chatbots on website content to answer visitor queries.
Herman Schutte
Founder