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NEW Google 2.5 Deep Research Agents Update (FREE!) 🤯

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Building Advanced Deep Research Agents with Google Gemini 2.5 Pro
In this video, we explore the newly announced Gemini 2.5 Pro AI model from Google, designed for deep research tasks. The presenter demonstrates two methods for building deep research agents: one using the paid Gemini 2.5 Pro Experimental model and another free method utilizing Vector Shift. The tutorial specifically outlines how to configure and deploy these agents, including setup steps, input handling, and output management through various integrations such as Google Search. Additionally, the capabilities and efficiency of Gemini 2.5 Pro are compared with other AI models like ChatGPT, with the former showing superior performance in numerous benchmarks. The presenter also highlights the benefits of joining the AI Profit Boardroom community for more in-depth learning and support.
00:00 Introduction to Gemini 2.5 Pro AI Agent
00:16 Building Deep Research Agents: Paid Method
03:31 Building Deep Research Agents: Free Method
04:34 Creating and Deploying AI Agents with Vector Shift
08:13 Testing and Outputting AI Research Results
13:08 Conclusion and Additional Resources
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