Orchestrating the Mundane: Deskilling Language Models for Practical Outcomes
What does it take to harness the capabilities of LLMs to help with workaday IA tasks like classification, text analysis, or audits? If you’ve ever tried to do these via a chatbot, you’ve likely already discovered that conversational interfaces don’t scale—and often aren’t very reliable.
Large language models can be harnessed for these tasks, and this session will show you how by combining two techniques: deskilling and orchestration. These approaches help us set up interconnected flows of small, well-defined tasks that are then combined to accomplish more complex outcomes.
Talk attendees will see:
• an introduction to the technique of orchestrating language models
• a working example of model orchestration in practice
• tactics for advocating for these approaches with colleagues and collaborators
