Can Google's Gemini Advanced Beat GPT-4? Or Is ChatGPT Still King?

Gary Explains
9 Feb 202413:22

TLDRIn this video, the host compares Google's Gemini Advanced with OpenAI's GPT-4, two leading large language models. Through a series of questions on logic, trivia, and programming, both models demonstrate their capabilities. The results show a tie, with each model performing equally well across various categories. The host concludes that the choice between the two now depends on individual needs and preferences, signaling a new era of competition in the AI language model space.

Takeaways

  • 🏆 GPT-4 and chat GPT are considered the gold standard in large language models.
  • 🔥 Google's Gemini model was initially not on par with GPT-4 but has since been rebranded and improved with Gemini Advanced.
  • 💰 Gemini Advanced is a paid version of Google's language model that aims to compete with GPT-4.
  • 📝 The video compares GPT-4 and Gemini Advanced across various categories such as logic, colors, movies, sports, and programming.
  • ✅ Both models provided correct answers in a logic puzzle about a darts tournament.
  • 🎨 In identifying the color of a mug, both GPT-4 and Gemini Advanced correctly answered 'red'.
  • 🎥 For the movie similarity question, GPT-4 chose 'The Matrix' while Gemini Advanced chose 'The Princess Bride', leading to a tie in the reviewer's opinion.
  • ⚽️ Regarding a humorous soccer scenario, both models recognized the non-literal use of the offside rule.
  • 💻 In a programming task, both models provided Python scripts to find the SHA-256 and MD5 hashes and check for the letter 'a'.
  • 🔍 When asked to spot an overflow bug in C code, both models correctly identified and suggested solutions for the issue.
  • 🤖 In a tiebreaker question involving the less-known programming language Lure, both models provided valid code to find the first 100 prime numbers.
  • 🌟 The conclusion is that Google's Gemini Advanced has caught up with OpenAI's GPT-4, creating a true competition between the two.

Q & A

  • What is the main focus of the video?

    -The video focuses on comparing GPT-4 with Google's Gemini Advanced, a large language model, across various categories such as logic, colors, movies, sports, programming, and an obscure language called Lure.

  • How did GPT-4 and Gemini Advanced perform in the darts tournament logic question?

    -Both GPT-4 and Gemini Advanced correctly deduced that Bob finished last in the darts tournament based on the given information.

  • What was the color of the mug in the shelf item identification question?

    -The mug was correctly identified as red by both GPT-4 and Gemini Advanced.

  • Which movie did the AI models consider most similar to Star Wars Episode 4: A New Hope?

    -GPT-4 identified The Matrix as the most similar due to shared sci-fi genre and elements like the hero's journey. Gemini Advanced, however, suggested The Princess Bride due to its hero's journey narrative and mentor figure.

  • How did the AI models interpret the offside rule in football in the context of the changing room joke?

    -Both AI models recognized the statement as not plausible in a literal sense but acknowledged it could be used metaphorically or humorously.

  • What was the programming task given to GPT-4 and Gemini Advanced?

    -The task was to write a Python script that asks for a user's name, finds the SHA256 and MD5 hash values, and searches for the letter 'a' in the MD5 hash.

  • How did GPT-4 and Gemini Advanced perform on the C code overflow bug question?

    -Both AI models correctly identified the potential overflow issue in the C code and suggested casting the numbers to floats or long longs to prevent the overflow.

  • What was the tiebreaker question in the video?

    -The tiebreaker question involved writing a program in Lure to find the first 100 prime numbers.

  • Did GPT-4 and Gemini Advanced provide correct Lure code for finding prime numbers?

    -Yes, both AI models provided functional Lure code that would correctly identify the first 100 prime numbers.

  • What conclusion did the video reach regarding GPT-4 and Gemini Advanced?

    -The video concluded that there was an absolute tie between GPT-4 and Gemini Advanced, as both performed equally well across all categories tested.

  • What factors might influence a user's choice between GPT-4 and Gemini Advanced?

    -Factors such as cost, availability, integration with other services, and personal preferences might influence a user's choice between the two AI models.

Outlines

00:00

🤖 GPT-4 vs Gemini Advanced: A Comparative Analysis

The video script begins with a discussion on the dominance of GPT-4 in the realm of large language models, facing competition from Google's Gemini. The narrator describes a previous comparison between GPT-4 and the original Gemini model, where GPT-4 outperformed. Now, with Google's rebranded Gemini Advanced, the narrator plans to compare it with GPT-4 to determine if it's a worthy competitor. The format of the comparison involves asking both AIs the same questions related to logic, colors, movies, sports, and programming to see how they perform.

05:02

📝 Logic, Colors, Movies, Sports, and Programming: A Test of AI Wits

The narrator proceeds with the comparison by asking both GPT-4 and Gemini Advanced a series of questions. They tackle a logic puzzle about a darts tournament, identify the color of an object, determine the similarity between movies, and assess the plausibility of a sports-related statement. Both AIs perform equally well, providing correct answers and demonstrating their understanding of context and humor. The comparison extends to a programming task, where both AIs successfully write a Python script to perform a series of hash-related operations, and they both identify and suggest fixes for an overflow bug in a piece of C code.

10:03

🔍 The Final Test: A Tiebreaker in the Making

The narrator concludes the comparison with a tiebreaker question, challenging both AIs to write a program in the lesser-known language of Lure to find the first 100 prime numbers. Both AIs provide code that appears to work, but the narrator has not yet tested it. The video ends with the narrator contemplating how to break the tie, as both GPT-4 and Gemini Advanced have performed equally well across all categories. The narrator reflects on the implications of Google catching up to OpenAI and invites viewers to share their thoughts in the comments.

Mindmap

Keywords

💡GPT-4

GPT-4 refers to the fourth generation of the Generative Pre-trained Transformer, a large language model developed by OpenAI. It is known for its advanced capabilities in understanding and generating human-like text. In the video, GPT-4 is compared with Google's Gemini Advanced to determine if Gemini has reached the same level of sophistication.

💡Gemini Advanced

Gemini Advanced is an upgraded version of Google's large language model, Gemini, which has been rebranded and improved to compete with GPT-4. It offers advanced features for users who subscribe to the service.

💡Language Models

Language models are artificial intelligence systems designed to process and generate natural language text. They are trained on large datasets to understand the structure and semantics of language, enabling them to perform tasks like translation, summarization, and conversation.

💡Competition

In the context of the video, competition refers to the rivalry between different AI language models in terms of their capabilities and performance. The competition is assessed through a series of tests to see which model can provide more accurate and relevant responses.

💡Logic

Logic, in this context, pertains to the ability of the AI models to reason and solve problems based on given information. It is one of the cognitive tasks that the AI models are tested on to evaluate their intelligence.

💡Programming

Programming involves writing code to create software or automate tasks. In the video, programming is one of the areas where the AI models are tested, specifically by asking them to write a Python script to perform a series of hash-related operations.

💡Debugging

Debugging is the process of identifying and correcting errors or bugs in computer code. It is a critical skill in software development and is one of the tasks that the AI models are evaluated on in the video.

💡Cognitive Abilities

Cognitive abilities refer to the mental processes that enable learning, memory, problem-solving, and other aspects of intelligence. In the video, cognitive abilities are tested by challenging the AI models with tasks that require understanding, reasoning, and problem-solving.

💡AI Subscriptions

AI subscriptions refer to the access provided to AI services or models on a subscription basis. Users pay a fee to use these advanced AI tools, which often offer more features or improved performance compared to free versions.

💡Tiebreaker

A tiebreaker is a method used to determine a winner or a superior option when there is a tie or equal performance between competitors. In the video, the creator seeks a tiebreaker to decide which AI model is better after both have performed equally well in the tests.

Highlights

GPT-4 and chat GPT are considered the gold standard in large language models.

Google's Gemini model was tested against GPT-4 and initially did not match its performance.

Google rebranded BERT to Gemini and introduced Gemini Ultra, an advanced version.

The video compares GPT-4 with Gemini Advanced to determine if Gemini is a true competitor.

Both models correctly answered a logic puzzle about a darts tournament.

Chat GPT and Gemini Advanced both correctly identified the color of a red mug.

Chat GPT and Gemini Advanced disagreed on the movie most similar to Star Wars Episode 4, with Chat GPT choosing The Matrix and Gemini choosing The Princess Bride.

Both models recognized the humorous aspect of a football player being offside in the changing room.

Chat GPT and Gemini Advanced provided Python scripts for a user input and hash-related task, with slightly different approaches but equivalent results.

Both models correctly identified and suggested fixes for an overflow bug in a piece of C code.

The final test involved writing code in the Lure language to find the first 100 prime numbers, which both models successfully provided.

The comparison resulted in a tie, with no significant differences in the performance of GPT-4 and Gemini Advanced.

The decision between using GPT-4 or Gemini Advanced may come down to factors such as cost, availability, and specific user needs.

The competition between Google and OpenAI in the field of large language models is now more intense.

The video invites viewers to share their thoughts on the comparison in the comments section.