Google's Gemini just made GPT-4 look like a baby’s toy?

Fireship
7 Dec 202304:40

TLDRIn the wake of Microsoft's AI triumph with GPT-4, Google has unveiled Gemini, a groundbreaking multimodal AI model that excels in language understanding and can process text, sound, images, and video. Gemini's capabilities include real-time video comprehension, multimodal outputs, and advanced logic and spatial reasoning. Despite initial skepticism, Gemini Ultra has shown to outperform GPT-4 in most benchmarks, except for the H Swag test, which assesses common sense. Google's response to Microsoft's dominance includes the release of Gemini in various sizes, with the most powerful version, Gemini Ultra, undergoing additional safety tests before its release next year.

Takeaways

  • 🚀 Google faced intense competition from Microsoft's GPT-4, leading to a shift in search engine usage towards Bing.
  • 🌟 Google's response was the release of the Gemini model, a multimodal AI that surpasses GPT-4 in many benchmarks.
  • 📅 The Gemini model was unveiled on December 7th, 2023, and has been the subject of much anticipation.
  • 🎥 Gemini is capable of understanding and responding to video content in real-time, showcasing its advanced multimodal capabilities.
  • 🗣️ The AI can recognize and respond to content in multiple languages, enhancing its global applicability.
  • 🔍 Gemini's demo included complex tasks like tracking objects in a video and playing games like 'find the ball under the cup'.
  • 🎨 It can generate images and music based on prompts, showcasing its creativity and versatility.
  • 🔢 Gemini is also proficient in logic and spatial reasoning, with potential applications in fields like civil engineering.
  • 📱 Gemini comes in three sizes: Tall, Grande, and Ventti, with the Ultra version being the most powerful.
  • 🤖 Alpha Code 2, another Google AI, outperforms 90% of competitive programmers in solving complex problems.
  • 📊 Gemini Ultra underperforms on the H Swag Benchmark, which evaluates common sense and natural language understanding.

Q & A

  • What significant event occurred in the AI industry in 2023?

    -Microsoft's AI model, GPT-4, outperformed Google, leading to a shift in public preference towards Bing for search.

  • What is the name of Google's AI model that was released to compete with GPT-4?

    -Google released the Gemini model, which is designed to surpass GPT-4 in various benchmarks.

  • What makes Gemini different from other AI models like GPT-4?

    -Gemini is a multimodal large language model that is trained not only on text but also on sound, images, and video.

  • How does Gemini demonstrate its multimodal capabilities?

    -Gemini can recognize activities in a video feed in real-time, understand ongoing events, and generate responses in multiple languages.

  • What are some of the practical applications of Gemini's multimodal outputs?

    -Gemini can generate images on the fly, create music based on prompts, and assist civil engineers by generating blueprints from land images.

  • What is Alpha Code 2, and how does it compare to competitive programmers?

    -Alpha Code 2 is an AI developed by Google that performs better than 90% of competitive programmers, capable of solving complex abstract problems.

  • How does Gemini Ultra perform in benchmarks compared to GPT-4?

    -Gemini Ultra outperforms GPT-4 in almost every category, especially in multitask language understanding, but underperforms on the H Swag Benchmark for common sense natural language.

  • What is the H Swag Benchmark, and why is it important for AI models?

    -The H Swag Benchmark evaluates an AI's ability to complete sentences that are vague and ambiguous, which is crucial for an AI to feel human-like in its responses.

  • How does Google train Gemini to avoid hallucinations and improve quality?

    -Google filters the training data for quality and uses reinforcement learning through human feedback to fine-tune Gemini's responses.

  • When will the Nano and Pro versions of Gemini be available on Google Cloud?

    -The Nano and Pro versions of Gemini will be available on Google Cloud starting December 13th, 2023.

  • What additional safety tests are required for the release of Gemini Ultra Pro Max?

    -Gemini Ultra Pro Max will be released after additional safety tests are completed and it reaches 100% on the H Swag Benchmark.

Outlines

00:00

🚀 Google's Gemini Model Unveiled

Google has launched the Gemini model, a multimodal large language model surpassing GPT-4 in various benchmarks. Gemini's capabilities include real-time video recognition, multimodal outputs, and advanced logic and spatial reasoning. It can understand and respond to visual and audio inputs, generate images and music, and even assist in complex tasks like bridge blueprints. However, Gemini Ultra, the most advanced version, underperforms on the H Swag benchmark, which evaluates common sense understanding.

Mindmap

Keywords

💡AI War

The term 'AI War' refers to the intense competition between tech giants like Google and Microsoft in the field of artificial intelligence. In the video, it's used to describe the battle for dominance in AI technology, where Microsoft's GPT-4 and Google's Gemini models are the weapons.

💡GPT-4

GPT-4 is the fourth generation of OpenAI's language prediction model, known for its advanced natural language processing capabilities. In the context of the video, it signifies a significant milestone in AI development that challenged Google's position.

💡Gemini Model

Google's Gemini Model is a multimodal, large language model designed to surpass the capabilities of GPT-4. It's capable of handling text, sound, images, and video, providing a more comprehensive AI experience.

💡Multimodal

In AI, 'multimodal' refers to systems that can process and understand multiple types of data inputs, such as text, sound, images, and video. The Gemini model's multimodal nature allows it to interact with users in a more human-like way.

💡Benchmark

A benchmark is a standard or point of reference against which things may be compared. In the video, it's used to measure the performance of AI models like GPT-4 and Gemini across various tasks.

💡Tensor Processing Units (TPUs)

TPUs are specialized hardware accelerators designed to speed up machine learning workloads. They are used in AI models to improve their training and inference capabilities. In the video, Google's version 5 TPUs are mentioned as a key component in training Gemini.

💡Reinforcement Learning

Reinforcement learning is a type of machine learning where an algorithm learns to make decisions by taking actions in an environment to maximize some notion of cumulative reward. In the video, it's used to fine-tune the AI model's responses based on human feedback.

💡Hella Swag Benchmark

The Hella Swag Benchmark is a test designed to evaluate an AI's common sense and natural language understanding by having it complete sentences that are vague and ambiguous. It's a measure of how human-like an AI's responses are.

💡Aerodynamics

Aerodynamics is the study of how air moves around solid objects. In the context of the video, it's used to describe how Gemini can analyze the shape of a vehicle to predict its speed.

💡Alpha Code 2

Alpha Code 2 is a tool or model unveiled by Google that performs better than 90% of competitive programmers, capable of solving complex abstract problems. It represents a significant advancement in AI's ability to assist in programming tasks.

Highlights

Google faced a major challenge from Microsoft's GPT-4 in the AI war of 2023.

GPT-4 captured the essence of the AI age, leading to a shift in user preference towards Bing.

Google unveiled its Gemini model, which outperforms GPT-4 on various benchmarks.

Gemini is a multimodal large language model, capable of understanding text, sound, images, and video.

Google demonstrated Gemini's ability to recognize objects in real-time video feeds and respond in multiple languages.

Gemini can track objects in ongoing video feeds and perform tasks like connecting the dots.

The model generates images and music based on prompts, showcasing its multimodal output capabilities.

Gemini is proficient in logic and spatial reasoning, with potential applications in fields like civil engineering.

Google also introduced Alpha Code 2, which outperforms 90% of competitive programmers in solving complex problems.

Gemini comes in three sizes: Tall, Grande, and Ultra, with Ultra being the most advanced version.

The Bard chatbot in the US uses Gemini Pro, which has improved significantly over the past six months.

Gemini Pro generally underperforms GPT-4, but Gemini Ultra outperforms it in almost every category.

Gemini Ultra is the first model to outperform human experts on massive multitask language understanding.

Gemini Ultra underperforms GPT-4 on the H-Swag Benchmark, which evaluates common sense natural language understanding.

The training of Gemini involved a new version 5 tensor processing unit and super PODS with dedicated optical switches.

Gemini's training data set includes a vast array of internet content, filtered for quality and fine-tuned with human feedback.

The Nano and Pro models of Gemini will be available on Google Cloud on December 13th.

Gemini Ultra Pro Max will not be available until next year, pending additional safety tests and reaching 100% on the H-Swag Benchmark.

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