GPT-4o VS Claude 3.5 Sonnet - Which AI is #1?

Summary

This video provides a comprehensive, practical comparison between GPT-4 and Claude 3.5 Sonet, focusing on real-world applications rather than benchmark tests. The host examines both models' performance in tasks like writing, summarizing, data analytics, coding, and reasoning. The tests reveal strengths and weaknesses in each model, highlighting that while Claude excels in coding and visualization, GPT-4 offers superior functionality in writing, summarization, and customizability. Despite some limitations, both models demonstrate significant capabilities, making the choice between them dependent on specific user needs.

Takeaways

• 😀 The video is a comprehensive test comparing GPT 40 and Claude 3.5 Sonnet, two AI models, focusing on practical applications rather than scientific benchmarks.
• 🔍 The test covers a range of practical uses, including writing, summarizing, vision, data analytics, coding, and reasoning to determine which AI is most practical for everyday work.
• 💰 Both AI models are available in paid versions, but the free versions are limited in usage, prompting the need for a subscription for extensive testing.
• 📝 In creative writing tasks, both GPT 40 and Claude 3.5 Sonnet performed well, with neither showing a clear advantage in generating product descriptions or emails.
• 📚 Text summarization capabilities were tested with both AIs providing accurate and concise summaries, with GPT 40 showing a slight edge in tone and detail.
• 🖼️ When analyzing complex images, GPT 40 initially provided incorrect time frames but corrected itself after further prompts, while Claude 3.5 Sonnet was more accurate from the start.
• 📊 In data analytics, both AIs were comparable, but GPT 40 had an advantage in creating PowerPoint presentations directly from data, a functionality lacking in Claude 3.5 Sonnet.
• 🏗️ Claude 3.5 Sonnet excelled in coding tasks, creating interactive visual dashboards and games, outperforming GPT 40 in these areas.
• 🔎 Research capabilities were found to be lacking in both AIs, with the video suggesting the use of other tools like Perplexity AI for more accurate research.
• 🤖 Complex reasoning tasks were handled well by both AIs, solving riddles and mathematical problems with correct logic and reasoning.
• 📱 For content creation, Claude 3.5 Sonnet provided a more usable tweet for social media, while GPT 40's output was less practical and engaging.
• 🚀 The video highlights the importance of choosing the right AI tool based on specific needs, acknowledging the strengths and limitations of both GPT 40 and Claude 3.5 Sonnet.

Q & A

What is the main purpose of the video?

The main purpose of the video is to conduct a practical head-to-head test comparing GPT 40 and Claude 3.5 Sonnet, two AI models, to determine which is more practical for everyday work and business use.

What types of tasks will the video cover in the comparison?

The video will cover tasks such as writing, text summarizing, vision and data analytics, coding, and reasoning to evaluate the AI models' performance in everyday applications.

How does the video differentiate between a scientific test and a practical test?

A scientific test is typically more structured and formal, like those in benchmark testing. A practical test, as used in the video, focuses on how the AI models perform in real-world scenarios and everyday tasks.

What are the limitations of the free versions of GPT 40 and Claude 3.5 Sonnet mentioned in the video?

The free versions of both AI models are extremely limited in terms of usage, with Claude 3.5 Sonnet only allowing about 10 messages before requiring an upgrade to a subscription.

What is the first writing prompt given to both AI models in the video?

The first writing prompt asks the AI models to create a short, punchy product description for a game-changing software tool in the world of marketing that revolutionizes customer relationship management for businesses.

How does the video evaluate the AI models' performance in text summarization?

The video asks the AI models to provide two summaries of an article: one with two to three sentences and another with five to six sentences that includes more details.

What is the main difference between the AI models' capabilities in handling vision tasks as shown in the video?

The main difference is that GPT 40 allows uploading of more images and has connected apps for easier image handling, while Claude 3.5 Sonnet has a feature called 'artifacts' for creating visual presentations and tables.

How does the video assess the AI models' performance in data analytics?

The video tests the AI models' ability to analyze complex images and data, such as a graph representing interest rates, and to create visual presentations or tables based on the data.

What limitations does the video highlight regarding Claude 3.5 Sonnet's capabilities in research?

The video highlights that Claude 3.5 Sonnet does not have internet access and therefore cannot provide current articles, reports, or relevant links for research, unlike GPT 40 which sometimes provides incorrect links.

What is the video's conclusion regarding the comparison between GPT 40 and Claude 3.5 Sonnet?

The video concludes that Claude 3.5 Sonnet performs better in coding and data visualization using code, while GPT 40 has advantages in writing, summarization, and having a memory function. The choice between the two depends on the specific needs and use cases.

What additional capabilities does GPT 40 offer that Claude 3.5 Sonnet does not, according to the video?

GPT 40 offers additional capabilities such as web browsing, image generation with Dolly 3, a memory function to improve responses based on previous interactions, and the ability to build custom GPTs for specific tasks.