Cohort 4

Freelance AI Engineer

Philip Agenmonmen

Follow a repeatable process to continually evaluate and improve your RAG application

OpenAI

Anthropic

Microsoft

Google

Jason Liu

Staff machine learning engineer, currently working as an AI consultant

Systematically Improving RAG Applications

Applied LLMs

<h3>Why I enrolled</h3>
<p class="p2-tall">Build a stronger set of mental models for improving RAG applications over a diverse and nuanced set of scenarios.<br>Make strong, objective improvements to the RAG application(s) I build for my clients.</p>
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    <h3>A breakthrough moment</h3><p class="p2-tall">That the well-researched beliefs me and key stakeholders have about what will improve the product for our users are still hypotheses.<br><br>This reminded me of Steve Blanks's concept of profound beliefs: <br><br><strong>Strong opinions, loosely held.</strong></p>

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<h3>What I’ll apply</h3>
<p class="p2-tall">All of it but especially the product, UI / UX and continual improvement practices. </p>
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Certificate

About this course