2023 is about to end and it has been a year of innovation and advancement, especially across the tech sector. AI is still the hottest tech topic in the industry and its market size is expected to grow twentyfold by 2030. Contributing to the AI adoption market, Alphabet has announced Google Gemini, their largest and most capable AI model.
The news came out on 6th December 2023 and since then there has been a buzz about this powerful AI model. Sundar Pichai, the CEO of Google says it is the beginning of a new era of AI, specifically, “The Gemini Era.” The model was first teased at the I/O developer conference in May and now it is here to redefine the AI industry. So, what is Google Gemini and can it oversmart the current AI industry leader, OpenAI’s GPT-4? Let’s find out!
What is Google Gemini?
Gemini is a powerful AI model from Google that can understand and process information from different sources, not just text, like ChatGPT and numerous other Large Language Models (LLMs). It can handle images, audio, and video, making it super versatile across different industries. Many sources cite Google Gemini as the most capable AI model after it’s benchmarks were released.
The CEO of Google stated, “We’re taking the next step on our journey with Gemini, our most capable and general model yet, with state-of-the-art performance across many leading benchmarks.” Demis Hassbiss, the CEO of Google’s DeepMind Technologies states it as, the “First Ever Truly Universal AI Model.”
Google is being strategic in the release of this revolutionary AI model, the main tech which debuted on December 6th is called Gemini 1.0. There are a total of three variants for their latest AI model.
Gemini Nano – Efficient for On-Device Tasks
Gemini Nano is the lighter version of the model which, according to Google, is efficient for on-device tasks and normal usage. The good news is that it will run natively on mobile phone devices and even offline on Android. The Google Pixel-8 is the only compatible Gemini Nano smartphone for now, giving its users quite a lot of new features. Google is looking forward to adding it to other new devices in the future.
Gemini Pro – For a Broad Range of Tasks
The next one is Gemini Pro, which now powers Google’s AI chatbot, Bard. The pro version of the Gemini AI model is for a broad range of tasks and is currently running at data centers at Alphabet. As the name suggests, Google Gemini Pro is capable of handling complex queries and delivering efficient responses at a relatively much faster time. To experience the power of Gemini Pro, simply login to Bard and ask anything you would like.
Mark Rober, a well-known American Youtuber/Engineer, tested the Gemini Pro model in one of his experiments using Bard as his AI assistant. See how it helped him improve the accuracy of the paper plane.
Gemini Ultra – For Complex Tasks
The Google Gemini Ultra model is the main highlight that brought you here. It is the most capable AI model which has set the competition on fire. Gemini Ultra outperforms OpenAI’s GPT-4 model in most of the image processing, text identification (OCR), mathematical reasoning, and video-related queries. Google describes it as the most capable AI model that exceeds 30 out of 32 widely-used academic benchmarks used in LLM model research and development. Gemini Ultra is not available for public use for now and will be released next year.
Tech Behind Google Gemini – Multimodal Capabilities
Moving on to Google Gemini’s technical aspects, multiple concepts power the latest LLM from the tech giant. The main highlights are the multimodal and Chain of Thought (CoT) prompting approach.
What is Multimodal Prompting?
Multimodal prompting is the process of training an AI model through different modalities, for instance feeding the model with diverse datasets such as combinations of texts and images. This makes the model efficient enough to predict the next move accurately. Google has designed Gemini to be multimodal natively, enabling it to understand multiple input types, rather than text only. When it comes to creating artificial intelligence systems that exhibit human-like intelligence, multimodal prompting plays a critical role, especially in tackling complex tasks.
What is Chain of Thought Prompting?
Chain of Thought (CoT) prompting is the process in which the AI model follows a sequence of connected ideas that lead to a final answer. For instance, the model is given a complex query on which it follows a number of intermediate natural language reasoning steps to form connections. Linking every response together, it reaches the final solution. Google has taken the CoT approach to train Gemini, enhancing its capabilities to excel in tasks that demand intricate reasoning and decision-making skills.
Here’s a comprehensive elaboration from Google on the capabilities of Multimodal AI:
Google Gemini – Infrastructure and Hardware
Google’s latest innovative Gemini AI model is built on Tensor Processing Units (TPUs) that enable it to process a large number of modalities across image, audio, video, and text data. This hardware is specially designed to train AI models that process data at a faster response rate, regardless of the input type, it can be textual and visual. TPUs make Gemini a great model to understand and reason on multimodal tasks. According to some sources citing Amin Vahdat, the VP of Google Cloud AI, Google is planning to train Gemini on both TPUs and Graphical Processing Units (GPUs) in the future.
Key Takeaways
Google was initially behind in the AI-powered chatbot race. They introduced Bard in February 2023 to compete with ChatGPT, which was already a popular AI chatbot worldwide. However, Bard did not receive the expected level of popularity. Now, the tech giant has launched Gemini, their latest and most advanced AI model. It appears that Gemini has the potential to become the market leader. Using the multimodal capabilities of Gemini, the possibilities are endless and there is still much more to come with Gemini Ultra next year.
FAQs
Is Google Gemini Available?
Google has just introduced Gemini in the market. For now, it powers a limited number of applications and devices. To explore its potential, you can use Bard, which is now utilizing the Gemini Pro model.
How Google Gemini Works?
Google Gemini works on a multimodal prompting approach, making it an intelligent and versatile AI solution in the market.
When Will Google Gemini Be Released?
Google launched Gemini on December 06, 2023, with three versions, Nano, Pro, and Ultra. While Google is rolling out Nano and Pro across devices and applications, Gemini Ultra will be available next year, i.e., 2024.
Will Google Gemini Be Free?
You can experience the capabilities of this model using Bard or Pixel-8 Pro. Not sure for now about how Google will charge upon the usage of this model in the future.
Can Google Gemini Create Images?
No! Gemini Pro currently doesn’t generate images using the Bard chatbot. However, in the demo videos, we observed that Gemini could create images. This implies that the feature must be available in the upcoming Gemini Ultra model that will arrive next year.
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