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Perplexity Labs: Revolutionizing Deep Research
May 30, 2025
Lecture Notes: New Perplexity Labs Feature and Its Impact on Deep Research
Introduction
Introduction to a new feature by Perplexity known as "Labs"
Claims that it surpasses traditional deep research methods
Other LLMs like Gemini, ChatGPT, and Grock need to respond to this innovation
Accessing Perplexity Labs
Simple login at perplexity.ai
Identified by a light bulb icon
Allows creation of projects akin to deep research but with enhanced capabilities
Key Features of Perplexity Labs
Project Creation
Similar to deep research but more powerful
Cites all sources extensively (e.g., 61 sources for a sample task)
Displays all tasks performed and assets created
Research Reports
Comprehensive reports with citations
Generates images, graphs, trend lines
Capable of creating customized assets and performing specific tasks
Output Options
Can rewrite, export in various formats (PDF, markdown, doc, etc.)
Shareable and allows further questioning
Comparison with Other Platforms
Tested against Grock, Gemini, and ChatGPT
Perplexity Labs performs superior in terms of depth and breadth
Completed multiple tasks faster
Included visuals and statistical analysis
More comprehensive and detailed reports
Use Case Demonstrations
Examples of tasks performed:
Analyzing consumer confidence indices and retail spending
Building dashboards and predictive models
Specifically, building a predictive model for NBA playoffs, analyzing team stats and outcomes
Perplexity Labs efficiently builds models and dashboards compared to other platforms
Evaluating Competitors
Grock
Provided basic analysis but lacked graphs and detailed citations
Gemini
Conducted some research but omitted visualizations
ChatGPT
Incomplete in terms of visual and statistical support
Conclusion
Perplexity Labs deemed a superior tool for deep research
Encouragement to adopt AI tools to avoid job displacement
Mention of an AI Automation School for further learning
Final Thoughts
The transformative potential of Perplexity Labs in deep research
Importance of staying updated with AI advancements in work processes
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