I Tested 4 Top AI on REAL TASKS | ChatGPT4 (o1) vs Gemini Advanced vs Claude Pro vs Perplexity Pro
TLDRIn this video, the creator compares four top AI models—ChatGPT4, Gemini Advanced, Claude Pro, and Perplexity Pro—on real-world tasks. They test the AIs on social media content creation, strategic business analysis, document analysis, data analysis with visualization, and web design. ChatGPT4 excels in data analysis, while Claude Pro shines in content generation. Gemini Advanced and Perplexity Pro show potential but need more depth. The video also introduces a 'hack' for using ChatGPT4's latest model for complex tasks.
Takeaways
- 😀 The video compares four top AI models: ChatGPT4, Gemini, Claude Pro, and Perplexity Pro.
- 🔍 The AI models are tested on real-world tasks to evaluate their performance in business and marketing scenarios.
- 📅 A social media content creation test for a Black Friday promotion is conducted to assess creativity and writing ability.
- 📊 The AI models are tasked with strategic business analysis to test their strategic thinking and analytical reasoning capabilities.
- 📈 Data analysis and visualization abilities are evaluated by asking the AI to summarize insights from provided datasets.
- 💻 Web design and coding skills are tested by having the AI design a holiday campaign landing page.
- 🏅 Claude Pro excels in content generation and has a natural writing style that fits different platforms.
- 📝 Perplexity Pro with the 01 model shows significant improvement in reasoning and problem-solving tasks.
- 📉 ChatGPT4 stands out in data analysis, not hitting any limits and providing accurate visualizations.
- 🛠️ Claude Pro demonstrates superior coding abilities, offering a near-complete landing page layout.
- 💡 The video suggests a workflow combining the strengths of different AI models for various tasks.
Q & A
What was the main purpose of the video?
-The main purpose of the video was to conduct an in-depth review of four popular AI models - ChatGPT4, Gemini, Claude Pro, and Perplexity Pro - by testing them on real-world tasks and comparing their performance.
What was the focus of the AI model comparison?
-The comparison focused on the AI models' performance in real-world situations, specifically in business and marketing-related tasks, rather than theoretical capabilities or keyword occurrences.
What types of tasks were used to evaluate the AI models?
-The tasks included social media content creation, strategic business analysis, document analysis and information extraction, data analysis and visualization, and landing page layout design.
What was the 'cool hack' mentioned in the video for using the ChatGPT4 model?
-The 'cool hack' mentioned was using the ChatGPT4 model for strategic reasoning and problem-solving tasks, while using Claude 3.5 for writing tasks, to take advantage of the strengths of both models.
How did the AI models perform in the social media content creation task?
-Claude Pro was ranked first for the social media content creation task due to its detailed and natural-sounding content, adherence to instructions, and inclusion of all required elements like hashtags and notes.
What was the issue with the content generated by ChatGPT4 in the social media task?
-ChatGPT4 generated only 12 social media posts instead of the requested 24, which was a significant oversight despite the detailed and relevant content provided.
How did Perplexity Pro with the reasoning model perform in the strategic business analysis task?
-Perplexity Pro with the reasoning model performed exceptionally well, providing a comprehensive and specific analysis tailored to the case study, earning it the top rank in that task.
What was the limitation encountered when using Claude Pro for the data analysis task?
-The main limitation with Claude Pro during the data analysis task was the conversation length limit, which restricted the model's ability to fully utilize its capabilities, especially with large datasets.
Which AI model excelled in data analysis and visualization?
-ChatGPT4 excelled in data analysis and visualization, as it did not hit any length limits, provided accurate insights, and generated detailed visualizations without missing any requested elements.
What was the outcome of the landing page layout design task?
-Claude Pro was ranked highest in the landing page layout design task, as it provided a complete and functional layout with a working timer and gift finder, although it required some improvements for perfection.
What was the overall conclusion of the video regarding the AI models?
-The overall conclusion was that each AI model has its unique strengths and there is no one-size-fits-all solution. The video emphasized the importance of choosing the right AI model for specific needs based on the tasks at hand.
Outlines
🤖 AI Review and Real-World Application
The speaker discusses their experience with four popular AI chat models: ChatGPT, Gemini, Claude, and Perplexity Pro. They mention the release of a new model, 01, and plan to review these AIs side by side, including the new model, to see how they perform in real-world scenarios. The focus is on finding the right AI for specific needs rather than the best AI. The evaluation will involve five different business and marketing-related tests using the same prompt for each AI. The tests will mimic real-world situations and use real-world data as much as possible. The speaker excludes tests related to image generation and up-to-date information as some AIs do not have full capabilities in these areas. They also exclude heavy coding tests as they personally do not use AI for coding. The first test involves social media content creation for a Black Friday promotion, requiring 24 social media post contents, short video concepts, and hashtag suggestions. The speaker provides brand guidelines, campaign details, and social post samples. They critique each AI's response, noting strengths and weaknesses in terms of detail, creativity, and adherence to instructions.
📈 Strategic Business Analysis and AI Capabilities
The speaker evaluates the AI models' strategic thinking and analytical reasoning capabilities by asking them to analyze a business situation and provide strategy recommendations for an upcoming recession. They critique each AI's response, noting the structure, specificity, and relevance of the recommendations. ChatGPT provides a well-structured response with specific financial figures and detailed strategy recommendations. Gemini's response is structured but lacks depth and specificity. Claude's response exceeds the conversation length limit, a significant concern for the speaker. Perplexity Pro, when switched to the reasoning model using the 01 model, provides an excellent and comprehensive response, with specific points tailored to the case. The speaker ranks Perplexity Pro as the top performer in this round due to the 01 model's significant impact on performance.
📊 Data Synthesis and Sentiment Analysis
The speaker tests the AI models' ability to synthesize information and analyze sentiment by providing a popular YouTube script and asking the AIs to extract insights and propose a blog content outline. They request fresh angles without repeating the video's takeaways. ChatGPT accurately identifies key takeaways and provides a fresh perspective, translating them into a well-structured blog outline. Gemini's response is similar but slightly less accurate in capturing the video's points. Claude's response is also similar but more closely related to the core topic, with a coherent outline. Perplexity Pro, using the reasoning model and the 01 model, provides a detailed response but with no significant difference from ChatGPT. The speaker finds it difficult to rank the AIs for this round as all performed well, but ChatGPT is ranked first due to its ability to handle large documents without issues.
💻 Web Design and Coding Ability
The speaker assesses the AI models' web design and coding abilities by asking them to design a landing page for a holiday campaign, including a hero section, feature product categories, an interactive timer, and a gift finder. ChatGPT provides a detailed layout and generates basic code, but the timer and gift finder do not work. Gemini's code is even more basic, missing the timer and gift finder. Claude generates a more complete layout with working features but does not detail the section copy in the response. Perplexity Pro generates copy for each section and basic code, but the layout is not complete. The speaker ranks Claude as the top performer in this round due to its fast and accurate code generation, providing a near-complete layout.
🚀 Conclusion and Recommendations
The speaker concludes the video by summarizing the performance of the AI models in the evaluated areas. They emphasize that each AI model has its unique strengths and there is no one-size-fits-all solution. They suggest that viewers watch the video for their overall usage experience if they are using free versions and considering upgrading to paid versions. The speaker hints at a follow-up video and signs off with music.
Mindmap
Keywords
💡AI
💡ChatGPT4
💡Gemini Advanced
💡Claude Pro
💡Perplexity Pro
💡Real-world problems
💡Social media content creation
💡Strategic business analysis
💡Data analysis
💡Landing page layout design
💡Model comparison
Highlights
Comparative review of four top AI models: ChatGPT4 (o1), Gemini Advanced, Claude Pro, and Perplexity Pro.
Introduction of ChatGPT4's latest model o1.
Aim to evaluate AIs in real-world business and marketing scenarios.
Exclusion of image generation and up-to-date information tests to ensure a fair comparison.
First test: Social media content creation for a Black Friday promotion.
ChatGPT4 provided a detailed content calendar with a mistake in the number of posts.
Gemini Advanced proposed a content calendar with well-written but incomplete content.
Claude Pro detailed every post with actual content and followed instructions accurately.
Perplexity Pro produced a similar output to Claude Pro but with more generic additional notes.
Claude Pro ranked first in the content creation test for its natural writing style.
Second test: Strategic business analysis for guiding a company through a recession.
ChatGPT4 provided a well-structured analysis with specific financial figures.
Gemini Advanced's response was generic and lacked depth.
Claude Pro could not complete the task due to conversation length limits.
Perplexity Pro with the o1 model provided a comprehensive and specific analysis.
Perplexity Pro with the o1 model ranked first in the business analysis test.
Third test: Analyzing documents and extracting information from a popular YouTube script.
ChatGPT4 accurately extracted insights and proposed a blog content outline.
Gemini Advanced's response was comprehensive but not entirely accurate in capturing the task.
Claude Pro's response was similar to Gemini Advanced but more coherent.
Perplexity Pro's response was detailed but not significantly different from ChatGPT4.
ChatGPT4 ranked first in the document analysis test for its well-done response.
Fourth test: Data analysis and visualization with two datasets.
ChatGPT4 generated accurate charts and provided key findings and recommendations.
Gemini Advanced made mistakes in the findings and the charts were not readable.
Claude Pro could not complete the task due to conversation length limits.
Perplexity Pro failed to generate most of the requested charts and findings.
ChatGPT4 ranked first in the data analysis test for its excellent performance.
Fifth test: Landing page layout design for a holiday campaign.
ChatGPT4 with the o1 model provided a basic layout with some elements not functioning.
Gemini Advanced's code was basic and lacked interactive elements.
Claude Pro generated a complete and functional landing page layout.
Perplexity Pro's layout was basic with a working timer but lacked other interactive elements.
Claude Pro ranked first in the web design test for its near-complete layout.
Conclusion: Each AI model has its strengths and no one-size-fits-all solution exists.
Recommendation to choose the right AI for specific needs.