Asking chatgpt (accessed via poe.com) to compare two AI tools for literature search and review tasks: a study note
My question: "I am a University student, currently studying the subject of Research Methods. I come across two Artificial Intelligence (AI) tools; they are perplexity and GPT-3.5. I would like to know what criteria can be used to evaluate the strengths and weaknesses of these two AI tools for performing the literature search and literature review tasks. Could you use these criteria to compare these two AI tools, preferably in the form of a table? Tks."
The reply from chatgpt: "Here’s a comparison table evaluating the strengths and weaknesses of the AI tools, Perplexity and GPT-3.5, for literature search and literature review tasks based on various criteria:
Criteria |
Perplexity |
GPT-3.5 |
Purpose |
Primarily designed for search and discovery of information |
General-purpose language model for various tasks |
Search Capability |
Strong search capabilities with real-time results |
Relies on pre-existing knowledge, not real-time |
Source Variety |
Aggregates information from multiple online sources |
Generates text based on training data, lacks direct sourcing |
Ease of Use |
User-friendly interface tailored for searches |
Versatile but may require prompts for specific tasks |
Response Quality |
Provides concise and relevant search results |
Offers detailed and context-rich responses |
Citation Management |
Limited citation features |
Can generate citations but not directly manage them |
Customization |
Limited customization options for specific searches |
Highly customizable responses based on prompts |
Access to Latest Research |
Accesses up-to-date online content |
Knowledge may be outdated (up to 2021 for GPT-3.5) |
User Interaction |
Focused on direct query-response |
Supports conversational interactions |
Learning Curve |
Low learning curve |
Moderate learning curve, depends on user familiarity |
Cost |
Free or subscription-based for advanced features |
Costs associated with API usage or subscription |
Limitations |
May not understand complex queries |
Can generate misleading or inaccurate information |
Summary
Perplexity is best suited for real-time literature searches and finding specific information quickly, with a focus on aggregation from diverse sources.
GPT-3.5 excels in generating detailed text and contextual responses, making it useful for summarizing literature and providing insights, but may lack the latest information and direct sourcing capabilities.
This table should help you evaluate the two tools effectively for your literature search and review tasks in your Degree program."
Reference: a collection of blog notes on using chatgpt for research purpose.
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