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Empowering the Gemini 2.5 Model! Multi-Modal Researcher Enhances Research and Podcast Creation Efficiency

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Empowering the Gemini 2.5 Model! Multi-Modal Researcher Enhances Research and Podcast Creation Efficiency

“Multi-Modal Researcher” is a simple yet efficient workflow for research and podcast generation that leverages the unique capabilities of the LangGraph and the Google Gemini 2.5 model family, integrating three practical features of this model family. Users can input a research topic and optionally provide a YouTube video link. The system then utilizes a search … Read more

How to Design a Recommendation System for Technical Blogs: Semi-Automatic Recommendations Based on Google Search

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How to Design a Recommendation System for Technical Blogs: Semi-Automatic Recommendations Based on Google Search

Compared to statistics, it is often easier to recommend similar content to users based on content. There are two approaches to recommendations: Manual Recommendations Automatic Recommendations (PS: I admit that this statement is essentially meaningless.) As shown in the figure below: What to Recommend Manual Recommendations. In the technical field, authors are usually more knowledgeable … Read more