Gists
Abstract This report proposes a novel learning method using Gemini to automate Q&A generation, addressing the challenges of manual Q&A creation. By integrating with Google tools, this approach aims to enhance learning efficiency, accessibility, and personalization while reducing costs.
Introduction Mastering a new subject often demands a significant time commitment. A proven strategy for efficient learning is through question-and-answer (Q&A) practice. This method typically involves constructing a dataset of pertinent Q&A pairs and subsequently engaging in repeated practice until desired proficiency levels are achieved.
GeminiWithFiles was updated to v2.0.1 v2.0.1 (August 4, 2024)
From this version, codeExecution can be used. Ref You can see the detail information here https://github.com/tanaikech/GeminiWithFiles
UnlockSmartInvoiceManagementWithGeminiAPI was updated to v1.0.3. v1.0.3 (August 3, 2024)
On August 3, 2024, I upated GeminiWithFiles (https://github.com/tanaikech/GeminiWithFiles). In this version, PDF data can be processed with Gemini API without async/await. So, I updated UnlockSmartInvoiceManagementWithGeminiAPI. You can see the detail information here https://github.com/tanaikech/UnlockSmartInvoiceManagementWithGeminiAPI
GeminiWithFiles was updated to v2.0.0 v2.0.0 (August 3, 2024)
From this version, the following changes were made. PDF data can be directly used. Ref By this, PDFApp is not required to be used. By this, the script can be used without async/await. As the default, functions: {} is used. So, the default function calling was removed. Because in the current stage, JSON output can be easily returned using a JSON schema and response_mime_type.
Gists
Abstract Gemini API now enables direct PDF processing for content generation, eliminating image conversion and reducing costs. This report provides a sample script to demonstrate this new capability and its potential applications.
Introduction Gemini API has recently introduced the ability to directly process PDF data for content generation, significantly enhancing its capabilities. Previously, to utilize PDF data for content creation, it was necessary to convert each PDF page into a separate image format.