I Tested 4 Top AI on REAL TASKS | ChatGPT4 (o1) vs Gemini Advanced vs Claude Pro vs Perplexity Pro

Grace Leung
27 Sept 202420:18

TLDRIn this video, the creator compares four top AI models—ChatGPT4, Gemini Advanced, Claude Pro, and Perplexity Pro—by testing them on real-world tasks. The AIs are evaluated on their performance in social media content creation, strategic business analysis, data analysis, and web design. ChatGPT4 excels in data analysis, while Claude Pro stands out in coding tasks. The video also introduces a new feature from Hotspot AI, 'Breeze Content Agent,' designed to automate content creation. The creator emphasizes that each AI has unique strengths and suggests choosing the right AI for specific needs.

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 assess their practical utility.
  • 📈 The tests include social media content creation, strategic business analysis, document analysis, data analysis, and web design.
  • 📅 For social media content creation, the AIs were asked to create a content calendar for a Black Friday promotion.
  • 📊 The data analysis task involved summarizing insights from online sales and marketing campaign performance datasets.
  • 💼 The strategic business analysis aimed to test the AIs' strategic thinking and analytical reasoning capabilities.
  • 📝 The document analysis task required extracting insights from a popular YouTube script and proposing a blog content outline.
  • 🛠️ The web design task tested the AIs' ability to design a landing page layout for a holiday campaign.
  • 🏅 Claude Pro (Cloud) excelled in content generation and natural writing style, making it a strong choice for creative tasks.
  • 🥈 Perplexity Pro, when using the latest model (01), showed significant improvement in reasoning and problem-solving.
  • 🛑 Gemini had a good overall performance but lacked specificity in some tasks, suggesting it might need further fine-tuning for certain use cases.
  • 💻 ChatGPT4 demonstrated strong capabilities in data analysis and visualization, making it suitable for tasks involving large datasets.

Q & A

  • What is the main focus of the video?

    -The main focus of the video is to provide an in-depth review of four popular AI models: ChatGPT4, Gemini, Claude Pro, and Perplexity Pro, by testing them on real-world tasks.

  • What is the purpose of testing these AI models?

    -The purpose is to see how they compare in real-world situations and to determine which AI might be best suited for specific needs.

  • What types of tasks are the AI models tested on?

    -The AI models are tested on tasks related to social media content creation, strategic business analysis, document analysis and extraction of information, data analysis and visualization, and landing page layout design.

  • What is the significance of the Black Friday promotion task?

    -The Black Friday promotion task is designed to test the creativity and writing ability of the AI models by asking them to build a social content calendar for a Black Friday promotion across various social media platforms.

  • How does the video address the issue of conversation length limits in AI models?

    -The video highlights the conversation length limits as a significant concern, particularly when using Claude, where the AI is unable to complete certain tasks due to these limitations.

  • What is the 'cool hack' mentioned in the video for using the ChatGPT4 model?

    -The 'cool hack' is using the ChatGPT4 model for strategic reasoning problem-solving and Claude 3.5 for writing tasks, which is suggested to be a perfect combination for certain types of tasks.

  • What is the outcome of the social media content creation task?

    -In the social media content creation task, Claude is ranked first for its natural writing style and attention to detail, while ChatGPT4 is noted for its detailed and specific responses.

  • What does the video suggest about the importance of choosing the right AI for specific needs?

    -The video suggests that there is no one-size-fits-all AI model and that it's crucial to select the AI that best fits the specific requirements of a task or project.

  • How does the video evaluate the strategic thinking and analytical reasoning capabilities of the AI models?

    -The video evaluates these capabilities by asking the AI models to analyze business situations and provide strategy recommendations to guide a company through an upcoming recession.

  • What is the result of the data analysis and visualization task?

    -In the data analysis and visualization task, ChatGPT4 excels as it does not hit any limits and provides accurate analysis and visualization, making it suitable for analyzing large datasets.

  • What conclusion does the video draw about the performance of the AI models?

    -The video concludes that each AI model has its strengths and that there isn't a single best model; rather, the choice depends on the specific requirements of the task at hand.

Outlines

00:00

🤖 AI Review: Comparing Chatbots and New Model 01

The speaker begins by mentioning a previous video about four popular AI chatbots and introduces the latest model 01. They emphasize that AI is constantly evolving and the goal is not to find the 'best' AI, but rather the most suitable one for specific needs. The speaker plans to conduct an in-depth review of these AI models, including the new model 01, by testing them in real-world scenarios. They outline five different business and marketing-related tests using the same prompt for evaluation. The tests exclude image generation and up-to-date information retrieval due to the limitations of certain AI models in these areas. The first test is about social media content creation for a Black Friday promotion, requiring the AIs to generate a content calendar with 24 social media posts, short video concepts, and hashtag suggestions. The speaker provides brand guidelines, campaign details, and social post samples to the AIs. The results vary: Chat GB provides a detailed calendar with a mistake in the number of posts; Gemini gives a strategic approach but lacks specificity; Cloud offers detailed posts but exceeds the conversation limit; and Perplex Pro generates a calendar with more than the requested number of posts and more generic additional notes.

05:00

📈 Spotlight on AI: Hotspot's New Features

The speaker discusses Hotspot's biannual updates, focusing on the new Spotlight feature that showcases AI capabilities aimed at enhancing marketers' efficiency and lead generation. A key feature highlighted is the Breeze content agent, which automates content creation in various formats while aligning with brand voice and leveraging CRM data. The speaker thanks Hotspot for sponsoring the video and transitions to the next task, which is strategic business analysis. This task evaluates the AI models' strategic thinking and analytical reasoning by asking them to analyze a business situation and provide strategy recommendations for navigating a recession. Chat GB's response is praised for its structure and specificity, including financial figures and detailed strategy. Gemini's response is criticized for being generic and lacking depth. Cloud's response exceeds the conversation limit, necessitating a text file upload, but is appreciated for its specificity and detailed analysis. Perplex Pro, using the new model 01, provides a comprehensive and coherent response, with detailed recommendations and financial projections. The speaker concludes that Perplex Pro with the 01 model outperforms the others in this task.

10:01

📊 Data Synthesis and Sentiment Analysis Task

In this task, the speaker provides a YouTube script for a popular video and asks the AIs to extract insights and propose a blog content outline without repeating the video's takeaways. Chat GB's response is accurate and offers fresh perspectives, such as self-compassion and the importance of rest. Gemini's response is similar but less accurate in capturing the video's points and proposes new perspectives like community power. Cloud's response is also similar but more closely related to the core topic of building inner strength. Perplexity, using the reasoning model with the 01 model, provides detailed talking points and a similar format to Chat GB but does not significantly differ. The speaker finds Chat GB's response to be the best for this task due to its elaboration and handling of large documents.

15:02

📊 Data Analysis and Visualization

The speaker asks the AIs to analyze two datasets – online sales and digital marketing campaign performance – and generate summarized insights with visualizations. Chat GB delivers detailed charts and findings that align well with the data, except for a minor oversight in channel performance. Gemini's charts are less readable, and its findings contain inaccuracies regarding data from 2021 and the top five best sellers. Cloud exceeds the conversation limit, preventing it from completing the task. Perplexity generates only one chart and provides mostly irrelevant findings with incorrect assumptions. The speaker concludes that Chat GB excels in data analysis and visualization, especially with large datasets, while Gemini and Cloud have room for improvement.

20:04

🖥️ Landing Page Layout Design

In the final task, the speaker asks the AIs to design a landing page for a holiday campaign, including a hero section, feature product categories, an interactive timer, and a gift finder. Chat GB, using the new 01 model, provides a detailed layout but its code is basic and requires supplementation. Gemini's code is even more basic, lacking interactive elements. Cloud generates a more complete layout with working interactive elements, although it's not perfect and requires some fixes. Perplexity generates code quickly but the layout is basic and not ready to launch. The speaker ranks Cloud as the best in coding tasks, closely followed by Perplexity and Chat GB, while Gemini's performance is underwhelming and requires further testing.

📚 Conclusion and Upgrade Consideration

The speaker wraps up by summarizing the performance of the AI chatbots in the evaluated areas, noting that each has its strengths and there is no one-size-fits-all solution. They advise viewers currently using free versions to watch the video for overall usage experience before deciding whether to upgrade to paid versions. The video ends with a teaser for the next video.

Mindmap

Keywords

AI

AI stands for Artificial Intelligence, which refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video, AI is the central theme as the host tests different AI models to evaluate their performance on real-world tasks, showcasing how AI can be leveraged in various applications like content creation, strategic analysis, and data analysis.

ChatGPT4

ChatGPT4 is a reference to a hypothetical advanced version of the ChatGPT model, which is a type of AI developed by OpenAI that can generate human-like text based on the prompts given to it. In the context of the video, ChatGPT4 is one of the AI models being tested to see how it handles various tasks and compares to other AI models.

Gemini Advanced

Gemini Advanced is mentioned as one of the AI models being tested. It is likely a more advanced version of a Gemini AI model, which could refer to a system designed to handle complex tasks and provide sophisticated responses. The video aims to assess its capabilities in real-world scenarios to determine its effectiveness.

Claude Pro

Claude Pro seems to be an AI model being evaluated in the video. The 'Pro' suffix suggests it is a professional or advanced version of a base AI model named Claude. The script indicates that Claude Pro will be tested for its performance in various tasks to see how it stands against other AI models.

Perplexity Pro

Perplexity Pro is another AI model under scrutiny in the video. The term 'Pro' here, as with others, implies a professional or advanced version. The video will examine Perplexity Pro's performance on a variety of tasks to assess its real-world applicability and compare it with other AI models.

Real-world problems

Real-world problems refer to challenges or issues that people face in their everyday lives or in professional settings. The video aims to test the AI models' abilities to address these problems by simulating real-life business and marketing scenarios to see how well the AIs can perform tasks that have practical applications.

Social media content creation

Social media content creation is one of the tasks used to test the AI models. It involves generating engaging and relevant content for platforms like Facebook, Instagram, and TikTok. In the video, the host asks the AIs to create a content calendar for a Black Friday promotion, demonstrating their creativity and ability to follow brand guidelines.

Strategic business analysis

Strategic business analysis is a task that evaluates the AI models' ability to analyze business situations and provide strategic recommendations. The video describes how the host asks the AIs to analyze a company's situation and suggest strategies to navigate an economic recession, testing their analytical reasoning capabilities.

Data analysis and visualization

Data analysis and visualization involve processing and interpreting complex data and presenting it in a visual format. In the video, the AI models are provided with sales and marketing campaign data and asked to generate insights and visualizations. This tests their ability to synthesize information and create meaningful data representations.

Landing page layout design

Landing page layout design is a task that assesses the AI models' web design and coding abilities. The video describes how the host asks the AIs to design a holiday campaign landing page with specific elements like a hero section, feature product categories, and interactive components. This tests their ability to create functional and appealing web layouts.

Highlights

AI comparison includes ChatGPT4, Gemini, Claude Pro, and Perplexity Pro.

Latest ChatGPT4 (GPT-4) model is tested alongside other AI models.

Real-world tasks are used to evaluate the AI models' capabilities.

The video focuses on practical applications rather than theoretical tests.

AI models are assessed on social media content creation for Black Friday.

ChatGPT4 provides detailed social media content but misses some posts.

Gemini offers a strategic approach but lacks specificity in content.

Claude Pro excels in content creation with a natural tone.

Perplexity Pro provides a comprehensive response with more than requested posts.

Claude Pro is noted for its natural writing style and attention to detail.

Perplexity Pro can perform web browsing, enhancing its content capabilities.

Hotspot's Spotlight feature is highlighted for its AI advancements.

AI models are tasked with strategic business analysis for a recession scenario.

ChatGPT4 offers a structured and detailed analysis with specific recommendations.

Gemini's analysis is generic and lacks depth compared to ChatGPT4.

Claude Pro faces limitations due to conversation length restrictions.

Perplexity Pro with the GPT-4 model provides a comprehensive analysis.

AI models are evaluated on their ability to analyze documents and extract information.

ChatGPT4 provides accurate insights and a fresh perspective for blog content.

Gemini and Claude Pro offer similar findings with some inaccuracies.

Perplexity Pro's response is detailed but not significantly different from others.

Data analysis and visualization abilities of AI models are tested.

ChatGPT4 delivers accurate data analysis and visualization.

Gemini's visualizations are less readable with some inaccuracies in findings.

Claude Pro struggles with data size limitations, affecting its analysis.

Perplexity Pro fails to generate most requested visualizations.

AI models are assessed on web design and coding for a landing page.

ChatGPT4 with GPT-4 model provides a basic layout with some functional issues.

Gemini's design lacks interactivity and completeness.

Claude Pro generates a functional and near-complete landing page layout.

Perplexity Pro's design is basic with a working timer but lacks interactivity.

Claude Pro is recommended for coding tasks due to its comprehensive output.

ChatGPT4 with GPT-4 is suitable for technical documentation preparation.

The video concludes that no single AI model fits all needs.

The video provides insights on whether to upgrade to paid AI model versions.