Google AI Studio: Build, Test - AI動画分析

AIコメンタリー

動画を再生してAIコメンタリーを見る

Whoa, they're jumping right into building a full bank statement OCR tool from scratch using Gemini. This looks like it's going to be a really comprehensive guide, covering everything from the initial idea all the way to deployment. I'm curious to see how they handle iterating on features and bug fixing.
Okay, so the gallery has some pretty cool pre-built apps, like that 'past forward' one – that's a neat idea. It's good to see that they're showing how to start from scratch in the 'build' tab, but also giving us a taste of what's already out there. This helps set expectations for what's possible.
The system prompt section is really key here. Understanding how to give specific instructions and define the AI's knowledge and style is so important for custom apps. It’s nice that they're showing the flexibility with templates like React and Angular too.

もっと見たいですか?サインアップして全ての会話を見る

新規登録

動画の要約は視聴を開始すると表示されます

The guide begins by introducing Google AI Studio and its capabilities for building applications from scratch using Gemini [0:00]. The initial focus is on creating a bank statement Optical Character Recognition (OCR) tool, demonstrating the iterative process of adding features like summarization, calculations, and handling multiple file uploads [0:00-0:30]. Users are shown how to navigate the "build" tab, exploring pre-built applications in the gallery and understanding the role of system prompts for custom instructions and AI model behavior [0:30-1:30]. The core app idea is to transcribe audio, but the primary objective is refined to an OCR tool for bank statements, with specific attention paid to defining input and output table schemas [1:30-2:00].
全機能を利用するには

サインアップまたはログインして、完全な動画分析機能にアクセスしましょう

現在のセクション要約

動画の要約は視聴を開始すると表示されます

The guide begins by introducing Google AI Studio and its capabilities for building applications from scratch using Gemini [0:00]. The initial focus is on creating a bank statement Optical Character Recognition (OCR) tool, demonstrating the iterative process of adding features like summarization, calculations, and handling multiple file uploads [0:00-0:30]. Users are shown how to navigate the "build" tab, exploring pre-built applications in the gallery and understanding the role of system prompts for custom instructions and AI model behavior [0:30-1:30]. The core app idea is to transcribe audio, but the primary objective is refined to an OCR tool for bank statements, with specific attention paid to defining input and output table schemas [1:30-2:00].
全機能を利用するには

サインアップまたはログインして、完全な動画分析機能にアクセスしましょう