How My Career Evolved Like an AI (LLM Architectures )System
The article explores the author's career evolution through the lens of AI architectures. It identifies three phases: education as an encoder, industry work as a decoder, and solution architecture as an encoder-decoder. Each phase reflects a different aspect of learning and application in the context of knowledge work.
- ▪The author compares their career stages to three types of LLM architectures: encoder, decoder, and encoder-decoder.
- ▪In the education phase, the focus was on absorbing and representing knowledge without generating outputs.
- ▪During the industry phase, the author shifted to generating real outputs based on previously encoded knowledge.
- ▪As a Solution Architect, the author combines encoding business requirements with decoding them into technical solutions.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 1829954) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Seenivasa Ramadurai Posted on May 22 How My Career Evolved Like an AI (LLM Architectures )System #ai #architecture #career #llm Introduction. What if every stage of your life mapped precisely onto one of the three LLM architectures? Here's how I lived through each one. I've spent years studying how AI systems learn, represent knowledge, and generate outputs. But it wasn't until I sat back and looked at my own life that something clicked.
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