議題

Build an Advanced RAG with Fine-tuned Gemma

RB102 [[ new Date( '2024-08-03 03:15:00+00:00' ).toLocaleDateString('ja', {year: 'numeric', month: '2-digit', day: '2-digit'}) ]] [[ new Date( '2024-08-03 03:15:00+00:00' ).toLocaleTimeString('zh-Hant', {hour12: false, hour: '2-digit', minute:'2-digit'}) ]] ~ [[ new Date( '2024-08-03 04:00:00+00:00' ).toLocaleTimeString('zh-Hant', {hour12: false, hour: '2-digit', minute:'2-digit'}) ]] 中文 Chinese

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In this session, will introduce how to build an advanced RAG with fine-tuned Gemma. We will show how to customize the model, how to monitor the performance, and how to handle the challenges during performance tuning. We will also show an example with Gemma and LowCode Tool (Dify)

Gemini #Gemma #RAG #GenerativeAI #FineTune #PerformanceTuning

講者

Jimmy Liao

Jimmy Liao is an experienced engineer and act as Cloud Solution Architect for now. He focus on solution architecture design with modern solutions.

In the leisure time, he completed 15 full marathon and still try to target for sub-4

Google Developer Party Google 開發者派對 37B7XF general (30mins)