Gemini 2.0 PDF Explained: Code Examples and Best Practices

The Gemini 2.0 model, introduced by Google DeepMind, significantly improves PDF document processing capabilities. Compared to traditional solutions in terms of accuracy, cost and scalability deficiencies, Gemini 2.0 significantly optimizes the PDF parsing process through structured data extraction, semantic chunking and efficient batch processing, and provides a variety of model options to balance performance and cost.

Mastering Gemini Deep Research: a guide to the extreme power and application of AI research assistants

Google's latest Gemini Deep Research is an AI research tool based on the Gemini 2.5 Pro model, with automatic network retrieval, in-depth information integration and structured report generation capabilities. Its performance is better than the competition about 40%, supports multi-format output, the price is only $19.99 / month, applicable to academic research, business analysis and technology frontier tracking and other scenarios.

Transit proxy service based on official APIs

In this era of openness and sharing, OpenAI leads a revolution in artificial intelligence. Now, we announce to the world that we have fully supported all models of OpenAI, for example, supporting GPT-4-ALL, GPT-4-multimodal, GPT-4-gizmo-*, etc. as well as a variety of home-grown big models. Most excitingly, we have introduced the more powerful and influential GPT-4o to the world!

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