Perplexity AI vs ChatGPT for Research - Who wins?

2025-11-27 20:0110 min read

In this video, the creator compares ChatGPT and Perplexity, two AI systems, in their effectiveness for scholarly tasks such as literature searching, data analysis, and writing. Initially expressing admiration for ChatGPT, the creator conducts a series of practical tests, including evaluating its capability to find peer-reviewed papers and explain research topics. Results indicate that Perplexity excels in retrieving academic references while ChatGPT performs adequately in writing assistance. By the end, the creator concludes that while both AIs serve different purposes well, Perplexity seems to have the edge for literature searches, while ChatGPT shines in data analysis and academic writing, ultimately deeming the competition a draw. The video serves as a practical evaluation of both systems in real academic scenarios.

Key Information

  • The speaker has been a fan of chat GPT for a long time but is curious about the superiority of perplexity.
  • A comparison between chat GPT and perplexity was suggested, focusing on various tasks that resemble research activities.
  • The tasks mentioned include finding literature, asking for help with explaining peer-reviewed papers, conducting data analysis, and writing and editing.
  • The speaker performed tests by asking both chat GPT and perplexity for recommendations on peer-reviewed papers related to hydrogen energy production.
  • The speaker found that perplexity provided more precise and relevant resources compared to chat GPT.
  • Next, they tested both AIs for their ability to explain research papers, with chat GPT being described as clunky and repetitive in its responses.
  • Perplexity performed better in providing key points and organizing them categorically, thus demonstrating an advantage in efficacy.
  • The speaker concluded that both tools have strengths—perplexity excels in searching and resource finding, while chat GPT is better at data analysis and academic writing.
  • The comparison ultimately pointed towards a draw between the two, with both having unique capabilities suitable for different tasks.

Timeline Analysis

Content Keywords

ChatGPT vs Perplexity

Comparison between ChatGPT and Perplexity showcasing their capabilities in various research tasks including finding literature, asking for help with explanations, conducting data analysis, and writing and editing. The narrator shares personal experiences on using both tools to determine which is superior in handling specific academic tasks.

Hydrogen Production Research

The narrator initiates a research project about hydrogen energy production using catalysts, comparing the effectiveness of ChatGPT and Perplexity in finding peer-reviewed papers and data analysis.

AI-Assisted Literature Search

The video discusses how both AI platforms perform literature searches. Perplexity shows superior results by sourcing relevant academic references, outperforming ChatGPT in finding necessary materials for the research.

Data Analysis and Graphing

The narrator tests both platforms for their data analysis capabilities, particularly focusing on plotting graphs and calculating the efficiency of solar devices based on provided IV curve data.

Peer Review Support

The use of both AI tools for summarizing and rewriting academic paragraphs to meet peer review standards is examined. ChatGPT displays proficiency in improving academic writing but has issues with properly citing references, while Perplexity excels at gathering peer-reviewed materials.

Strengths and Weaknesses

The video concludes with a discussion on the strengths of ChatGPT in data analysis and writing versus Perplexity's strengths in academic research. While each tool has its advantages, the narrator suggests a combined approach for optimal results in academic tasks.

Interactive Graphing Capabilities

Highlighting the capabilities of AI tools to create interactive graphs, the narrator indicates how these features enhance the research experience, enabling users to visualize data effectively.

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