<p><span style="font-size: 11pt; color: #000000;">Everyone in the tech world is excited, as well as a bit skeptical about Google&rsquo;s latest launch &ndash; the Gemini AI Model. This large language model (LLM) is made by Google to improve on the previous models in both power and capabilities. This is a short guide to the new AI model, giving you an understanding of the product and the various ways in which you can use this new tool.</span></p>
<p><span style="font-size: 11pt; color: #000000;">Keep reading to learn more.</span></p>
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<h2><span style="color: #000000; font-size: 18pt;"><strong>Gemini AI Model &ndash; An Introduction to the Formidable Tool</strong></span></h2>
<p><span style="font-size: 11pt; color: #000000;">Gemini, the latest multimodal AI solution developed by Google, harnesses cutting-edge AI services and techniques inspired by AlphaGo. Leveraging advanced training methods like tree search and reinforcement learning, Gemini possesses the capability to comprehend and engage intelligently across a spectrum of prompts, encompassing images, written text, speech, music, computer code, and more. Fueled by a suite of powerful <span style="color: #e67e23;"><a style="color: #e67e23;" title="AI services" href="../../artificial-intelligence-services">AI services</a></span>, Google strategically invests in Gemini to empower an array of products and services within its extensive portfolio.</span></p>
<p><span style="font-size: 11pt; color: #000000;">What sets Google&rsquo;s Gemini apart from other models in the LLM race is the fact that they initiated the project with a multimodal approach. It has translated well because the new tool can generalize, understand, and combine different types of data, including codes, videos, images, text, and more.</span></p>
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<h2><span style="font-size: 18pt; color: #000000;"><strong>Gemini AI Model Sizes &ndash; Nano, Ultra, and Pro</strong></span></h2>
<p><span style="font-size: 11pt; color: #000000;">The Gemini AI model comes in three sizes, and here is how they vary.</span></p>
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<h3><span style="font-size: 14pt; color: #000000;"><strong>Google Gemini Nano</strong></span></h3>
<p><span style="font-size: 11pt; color: #000000;">It is a tool made for on-device tasks. Coming in two sizes, Nano-1 (1.8 billion parameters) and Nano-2 (3.25 billion parameters), it will be available for Google&rsquo;s AI core app using Android 14 on the Pixel 8 Pro app. However, there is the option to <span style="color: #e67e23;"><a style="color: #e67e23;" title="apply for a sneak peek" href="https://docs.google.com/forms/d/1OVnWGC4hlxHKFnQGRfyzHP-RtXbqHUcC5niVp1UiKgs/viewform?edit_requested=true">apply for a sneak peek</a></span>, especially for developers.</span></p>
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<h3><span style="font-size: 14pt; color: #000000;"><strong>Google Gemini Pro</strong></span></h3>
<p><span style="font-size: 11pt; color: #000000;">The middle child, Gemini Pro, is running Google&rsquo;s data centers and is responsible for powering Google Bard, the company&rsquo;s response to <span style="color: #e67e23;"><a style="color: #e67e23;" title="Microsoft&rsquo;s ChatGPT" href="../blog/chatgpt-complete-guide-for-beginners-with-latest-updates">Microsoft&rsquo;s ChatGPT</a></span>. As per Google&rsquo;s claims, they are the better choice for brainstorming, summarizing content, and writing.</span></p>
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<h3><span style="font-size: 14pt; color: #000000;"><strong>Google Gemini Ultra</strong></span></h3>
<p><span style="font-size: 11pt; color: #000000;">Google Gemini Ultra is supposed to be the most capable model in the bunch. However, it is still not available for public use. Much like Pro, it is also a multimodal tool created using multiple codebases. The Ultra version offers the best results on around 30 out of 32 preferred benchmarks in LLM development.</span></p>
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<h2><span style="font-size: 18pt; color: #000000;"><strong>Gemini V/S ChatGPT</strong></span></h2>
<p><span style="font-size: 11pt; color: #000000;">By now, everyone on the playing field knows <span style="color: #e67e23;"><a style="color: #e67e23;" title="all about Generative AI" href="../blog/all-about-generative-ai">all about Generative AI</a></span>. The two biggest players in the field today are Microsoft and Google. So, a comparison is only natural. And Google was happy to answer the question at the time of the launch. They are providing a <span style="color: #e67e23;"><a style="color: #e67e23;" title="table to show a comparison" href="https://deepmind.google/technologies/gemini/#capabilities:~:text=of%20AI%20models.-,TEXT,5%2Dshot*%20(reported),-Reasoning">table to show a comparison</a></span> of the new AI model&rsquo;s capabilities to the public. As per the report, there is only one section where GPT-4 is better than Google, and that is HellaSwag reasoning &ndash; the commonsense reasoning used for daily tasks. In every other section, Gemini Ultra surpassed GPT-4 with ease.</span></p>
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<h2><span style="font-size: 18pt; color: #000000;"><strong>Leveraging Gemini AI Model the Right Way!</strong></span></h2>
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<p><span style="font-size: 18pt; color: #000000;"><strong><img style="display: block; margin-left: auto; margin-right: auto;" src="https://mooglelabs165918662.files.wordpress.com/2023/12/gemini-ai.png" alt="Gemini AI" width="700" height="395" /></strong></span></p>
<p><span style="font-size: 11pt; color: #000000;">Google&rsquo;s AI model has several provisions. From generating codes to visual reasoning, it can serve a variety of purposes. It is also multilingual, with expertise in computer vision, geospatial science, human health, and other integrated technologies.</span></p>
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<p><span style="color: #000000;"><strong><span style="font-size: 11pt;">To use Google Gemini in Bard, here are the steps to follow:</span></strong></span></p>
<ul>
<li><span style="font-size: 11pt; color: #000000;">Visit <span style="color: #e67e23;"><a style="color: #e67e23;" href="https://bard.google.com/">https://bard.google.com/</a></span></span></li>
<li><span style="font-size: 11pt; color: #000000;">Log in with your credentials</span></li>
<li><span style="font-size: 11pt; color: #000000;">Now, you can use the Gemini Pro within Bard Chatbot by asking it all the questions you have.</span></li>
</ul>
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<h2><span style="font-size: 18pt;"><strong><span style="color: #000000;">What Do the Critics Have to Say?</span></strong></span></h2>
<p><span style="font-size: 11pt; color: #000000;">While the Google Gemini AI model is quite comprehensive, it still has a bunch of limitations listed below:</span></p>
<ul>
<li><span style="font-size: 11pt; color: #000000;">English-only Interactions</span></li>
<li><span style="font-size: 11pt; color: #000000;">Gemini Pro integration in Bard is limited</span></li>
<li><span style="font-size: 11pt; color: #000000;">EU is still waiting for the integrations</span></li>
<li><span style="font-size: 11pt; color: #000000;">You can only use the text-based version of Gemini Pro in Bard</span></li>
</ul>
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<h2><span style="font-size: 18pt; color: #000000;"><strong>Final Thoughts &ndash; Google Gemini AI Model</strong></span></h2>
<p><span style="font-size: 11pt; color: #000000;">In the AI revolution, we have come a long way when we were learning <span style="color: #e67e23;"><a style="color: #e67e23;" title="how to use ChatGPT4" href="../blog/how-to-use-chatgpt4">how to use ChatGPT4</a></span>. Google Gemini AI Model is exceptional in several ways but is still in its early stages.</span></p>
<p><span style="font-size: 11pt; color: #000000;">Therefore, this is only the beginning of the full potential, and the race has only begun. We are still waiting for the next update from Microsoft. However, the recent turmoil at OpenAI might have given Google the perfect time to take the lead. Only time will tell.</span></p>