Google's Gemini Model is Here!

Waveform Clips
15 Dec 202313:09

TLDRGoogle has launched Gemini, the latest large language model behind Bard and other AI applications. Gemini stands out for its multimodal capabilities, training with words, images, and sound to better understand relationships between different data types. The model will come in various versions, with the ultra model being multimodal and targeted at data centers and enterprises. The Nano version is already available for Pixel 8 Pros, enhancing features like auto-summarization in the Recorder app. Sundar Pichai, Google's CEO, emphasizes Gemini's significance, comparing it to the Google search algorithm. While the model currently excels in English, support for other languages is expected by 2024. Gemini's potential extends to robotics and smart devices, promising a future where AI seamlessly integrates with everyday tasks.

Takeaways

  • 🚀 Google has launched a new large language model called Gemini, which is the latest technology behind Bard and will power various AI applications moving forward.
  • 🌐 Gemini is multimodal, meaning it's trained with words, images, and sound, allowing it to better understand relationships between different data types.
  • 📈 The model will have different versions tailored for various uses, including a nano version for local use on devices like Pixel, and an ultra version for data centers and enterprise use.
  • 🎯 The ultra model is currently the only one with multimodal capabilities, while others are text-in, text-out.
  • 🗣️ Gemini is initially available only in English, with support for other languages expected to roll out in 2024.
  • 📱 The Nano version is already available for Pixel 8 Pros, starting with applications like auto-summarization in the Recorder app.
  • 🔑 Gemini will also enhance features in Google Keyboards, such as smart replies, but currently, this feature is only available for WhatsApp.
  • 🤖 Sundar Pichai, Google's CEO, emphasized the significance of Gemini, comparing it to the importance of the Google search sorting algorithm.
  • 📊 Gemini has reportedly outperformed GPT-4 in 30 out of 32 benchmarks, showcasing its advanced capabilities.
  • 🔍 The potential applications of Gemini extend to areas like robotics, where its multimodal capabilities could enable more human-like interactions and maneuvering in spaces.

Q & A

  • What is Google's new large language model called?

    -Google's new large language model is called Gemini.

  • What is the primary function of Gemini?

    -Gemini is designed to power Google's General AI applications, including Bard, and will handle various AI-related tasks moving forward.

  • What makes Gemini different from previous models?

    -Gemini is not just a large language model; it is multimodal, meaning it is trained with words, images, and sound in parallel, allowing it to better understand the relationships between different data types.

  • Which version of Gemini is currently available for the public?

    -The ultra model is the only one that is multimodal and is intended for data centers and enterprise use. The other versions, such as Nano, are text in-text out and are available for public use.

  • What are some of the applications that Gemini will power?

    -Gemini will power auto summarization in the Recorder app, smart replies, and Google keyboards, with the latter initially available for WhatsApp.

  • What is the significance of Gemini's multimodal capabilities?

    -The multimodal capabilities of Gemini allow it to process and understand different types of data like images and sound, which can be used in various applications such as robotics and smart glasses.

  • Why is Google keeping the multimodal functionalities to the ultra model?

    -Google is likely keeping the multimodal functionalities to the ultra model to prevent misuse and to test its capabilities in an enterprise environment before potentially making it available to the general public.

  • How does Gemini handle the trolley problem?

    -When presented with the trolley problem, Gemini provides the pros and cons of each choice without making a definitive decision, showcasing its ability to analyze complex ethical dilemmas.

  • What are some limitations of Gemini that were noted in the script?

    -Despite its advanced capabilities, Gemini still has limitations, such as difficulties with certain language issues and the tendency to hallucinate or provide incorrect personal information.

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

    -Gemini outperformed GPT-4 in 30 out of 32 benchmarks, indicating its superior performance in various tasks.

  • When will developers get access to the pro model of Gemini?

    -Developers will gain access to the pro model of Gemini through Google's generative AI studio, vertex AI, and Google Cloud starting on December 13th.

Outlines

00:00

🚀 Google's New Gemini Language Model

This paragraph discusses the launch of Google's latest large language model, Gemini, which powers Bard and will handle Google's General AI tasks. Gemini is multimodal, trained with words, images, and sound, unlike past models. The model will have different versions for various uses, including a small version for local use on Pixel devices and more powerful versions for enterprise use. The ultra model is the only multimodal one currently, with others being text-based. The model is only in English, with other languages expected in 2024. The Nano version is available for Pixel 8 Pros, offering improved auto-summarization and smart replies. Sundar, from Google, emphasized Gemini's significance, comparing it to the Google search algorithm.

05:01

🤖 The Trolley Problem and AI's Moral Dilemma

This section explores the trolley problem, a thought experiment in AI ethics, and how it was presented to the new Gemini model. The user asked the model to solve the trolley problem, which involves a choice between killing one person or five. The model provided a balanced view without making a decision. The user attempted to trick the model into a response but was unsuccessful. The conversation also touched on the potential inaccuracies of AI, such as incorrect assumptions about individuals, and the continuous improvement expected in future versions of Gemini.

10:03

🌐 Future Applications and Accessibility of Gemini

The final paragraph discusses potential future applications of the Gemini model, especially its multimodal capabilities, in areas like robotics and smart devices. The speaker envisions a future where AI can interact with the environment through vision and audio, providing real-time assistance. There's speculation about the release of more advanced features in upcoming Pixel devices and the possibility of a multimodal breakthrough that could shift user preferences. The paragraph also mentions Google's plan to release the Pro model for developers and the excitement around the ongoing AI advancements.

Mindmap

Keywords

💡Gemini

Gemini is the name of Google's latest large language model, which is designed to handle a variety of tasks related to general AI. It is a significant advancement in AI technology, as it is not only capable of processing text but also multimodal, meaning it can understand and integrate information from different types of data such as images and sound. The model is set to power Google's AI initiatives, including Bard, and will have different versions tailored for various applications and scales, from local device usage to enterprise-level capabilities.

💡Bard

Bard is a product or application that is powered by Google's new language model, Gemini. It represents a significant development in AI, as it leverages the advanced capabilities of Gemini to perform tasks and interact with users. Bard is an example of how Google is applying its AI research to create new tools and services.

💡Multimodal

The term 'multimodal' refers to the ability of a system or model to process and understand multiple types of data inputs simultaneously. In the context of the video, Gemini is described as a multimodal model because it is trained not only on text data but also on images and sound, allowing it to comprehend and make associations between these different data types more effectively.

💡AI

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and problem-solve like humans. In the video, AI is the overarching field within which Google's new language model, Gemini, operates, and it is the technology that enables the creation of advanced tools like Bard.

💡Enterprise

Enterprise refers to the large-scale, business-oriented use of technology, software, or services. In the context of the video, it is mentioned that the most powerful version of Gemini, Gemini Ultra, will be targeted at enterprise-level applications, suggesting that it will be used in business environments for more complex and data-intensive tasks.

💡Pixel 8 Pro

Pixel 8 Pro is a specific model of smartphone developed by Google. In the video, it is mentioned as the device on which the Gemini Nano model is available, allowing it to perform certain tasks such as auto-summarization in the recorder app.

💡Smart Replies

Smart Replies is a feature typically found in messaging apps that suggests quick response options to users based on the context of the received message. In the video, it is mentioned that Gemini will power the smart replies feature in Google Keyboards, initially available only for WhatsApp.

💡Trolley Problem

The Trolley Problem is a hypothetical scenario in ethics and philosophy where a difficult decision must be made that involves potential harm to others. In the context of the video, it is used as a test case for AI models like Bard and Gemini to see how they handle complex ethical dilemmas.

💡Benchmarks

Benchmarks are standard tests or tasks used to evaluate the performance of a system, in this case, an AI model. They provide a way to compare the capabilities of different models or versions by measuring their success in completing specific tasks.

💡Cloud Computing

Cloud computing refers to the delivery of computing services, such as storage, processing power, and software, over the internet rather than from a local server. In the video, it is suggested that the most powerful version of Gemini, the Ultra model, will primarily reside on cloud servers, making its capabilities accessible to users remotely.

💡Artificial General Intelligence (AGI)

Artificial General Intelligence (AGI) is the hypothetical intelligence of a machine that has the ability to understand, learn, and apply knowledge across a wide range of tasks, much like a human being. In the video, the potential of Gemini to be used in more use cases like robotics suggests that it is a step towards achieving AGI.

Highlights

Google has launched a new large language model called Gemini.

Gemini is the latest AI model powering Google's Bard and other applications.

Gemini is multimodal, trained with words, images, and sound, unlike past models that handle single data types.

The ultra model of Gemini is the only multimodal version, with other versions being text in, text out.

Gemini's multimodal capabilities allow for better understanding of relationships between different data types.

Gemini will have different versions for various purposes, including a nano version for local use on Pixel devices.

The nano version of Gemini is currently available for Pixel 8 Pros, enhancing features like auto summarization in the Recorder app.

Gemini will also power smart replies and Google keyboards, initially for WhatsApp.

Sundar Pichai, Google's CEO, stated that Gemini is the biggest advancement since the Google search algorithm.

Gemini's multimodal nature was demonstrated with a demo involving drawing and summarizing content.

The trolley problem was presented to Bard using Gemini, which provided a balanced view without taking a definitive stance.

Gemini is expected to be used in more applications like robotics due to its Transformer model capabilities.

The pro model of Gemini will be accessible to developers through Google Cloud and AI platforms starting December 13th.

Gemini has reportedly outperformed GPT-4 in 30 out of 32 benchmarks.

The multimodal features of Gemini are currently restricted to the ultra model, possibly due to safety and definitional concerns of AGI.

Google may eventually roll out Gemini's advanced features to general users, potentially through incremental updates.

There is speculation that a breakthrough in multimodal applications could lead to a rapid adoption and development race among tech giants.

The live interaction demo of Gemini showcased its real-time processing and response to visual and auditory inputs.

The release of Gemini is seen as a significant step forward in the ongoing AI development competition.

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