The Evolution of LLM Customization: From Simple Prompts to Complex Agent Systems
By
sawyerjhood
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Summary
The article examines the evolution of LLM (Large Language Model) customization and extension mechanisms over the past three years, tracing the journey from simple chat interfaces to complex agent systems. It discusses how the industry has moved from basic system prompts to sophisticated client-server protocols and back again, highlighting the challenges in creating effective extension frameworks that balance power with usability. The piece reflects on various attempts to extend LLMs, including ChatGPT plugins and agent skills, and explores the fundamental question of how to give end users meaningful customization capabilities as models become more capable.
Key quotes
· 5 pulledThree years ago, 'using an LLM' meant pasting a wall of text into a chat box and hoping for something useful back.
Today, we point agents at our codebases, our browsers, and let them go off and act on our behalf.
A key question that has been brewing under the surface during this time has been: how do we let end users actually customize these systems?
As models have become more capable, the ways and mechanisms that end users have access to customize them have expanded as well.
We've gone from simple system prompts to complex client-server protocols and back again.
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