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Exploring Deep Research in AI Tools
May 14, 2025
Lecture on Deep Research in AI Tools
Introduction
Overview of Deep Research as a powerful feature in AI tools, released by OpenAI.
Available in AI tools like ChatGPT, Perplexity, Gemini, and Grok.
Known as "Deep Search" or "Deeper Search" in Grok.
Key focus: how to get better results using Deep Research.
Deep Research Setup
Initiate with a fresh chat session, ideally using a reasoning chat function.
Example prompt: "Research on the introduction of GenAI in companies in Germany."
Use the reasoning model to formulate a comprehensive search prompt.
Importance of creating a detailed, structured initial prompt.
Comparison of AI Tools
ChatGPT:
Designed as a deep research agent.
Emphasizes the importance of a well-crafted prompt.
Asks clarifying questions to enhance the specificity of searches.
Perplexity:
Starts research immediately; quality depends on prompt precision.
Google (Gemini):
Creates an editable research plan; less intuitive interaction.
Grok:
Distinction between deep and deeper search; has performance variability.
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Aligns with EU-AI Act requirements.
Importance of Deep Research
Emphasizes depth over speed; take time to conduct thorough research.
ChatGPT and Perplexity handle detailed queries well, though with varied completion times.
Quality checks on sources and structure are crucial.
Practical Applications
Use deep research to draft comprehensive reports for business contexts.
Recognizes limitation: AI tools cannot simply rework old reports without prompt guidance.
Encourages agentic thinking—using AI tools as agents for specific tasks.
Conclusion
Deep Research as a daily tool for comprehensive and efficient research.
Differentiates between specialized agents and typical LLMs.
Encourages engagement and sharing in the AI community for collective benefit.
Invitation to subscribe for future updates and insights.
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