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Google Bard is now Gemini: How to try Ultra 1 0 and new mobile app <\/p>\n

Google Gemini: Everything you need to know about the generative AI models<\/h1>\n<\/p>\n

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OpenAI and Google are continuously improving the large language models (LLMs) behind ChatGPT and Gemini to give them a greater ability to generate human-like text. But that capability hasn\u2019t made its way into the productized version of the model yet \u2014 perhaps because the mechanism is more complex than how apps such as ChatGPT generate images. Rather than feed prompts to an image generator (likeDALL-E 3, in ChatGPT\u2019s case), Gemini outputs images \u201cnatively,\u201d without an intermediary step. Google introduced Gemini 2.0 Flash on Dec. 11, 2024, in an experimental preview through Vertex AI Gemini API and AI Studio. Gemini 2.0 Flash is twice the speed of 1.5 Pro and has new capabilities, such as multimodal input and output, and long context understanding.<\/p>\n<\/p>\n

As of May 2024, GPT-4o is an available default in the free version of ChatGPT. A more robust access to GPT-4o as well as GPT-4 is available in the paid subscription versions of ChatGPT Plus, ChatGPT Team and ChatGPT Enterprise. GPT-4 was generally considered the most advanced GenAI model when it became available, but Google Gemini Advanced provided it with a formidable rival. ChatGPT and Gemini are largely responsible for the considerable buzz around GenAI, which uses data from machine learning models to answer questions and create images, text and videos.<\/p>\n<\/p>\n

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That\u2019s compared to the 24,000 words (or 48 pages) the vanilla Gemini app can handle. To make it easier to keep up with the latest Gemini developments, we\u2019ve put together this handy guide, which we\u2019ll keep updated as new Gemini models, features, and news about Google\u2019s plans for Gemini are released. The Google Gemini models are used in many different ways, including text, image, audio and video understanding. The multimodal nature of Gemini also enables these different types of input to be combined for generating output. While Pixel 8 and Galaxy S23 users, as well as future Galaxy S24 owners, will reportedly get first access to Assistant with Bard, that doesn’t guarantee it will be immediately available upon purchase of the devices.<\/p>\n<\/p>\n

Bard had already switched to Gemini Pro, so for free users, there won\u2019t be any major changes here. Those who opt to pay for Gemini Advanced, though, will get access to the Gemini Ultra 1.0  model. As for how good Gemini Ultra 1.0 really is, we\u2019ll have to try it out ourselves. Google itself was rather vague about its capabilities during this week\u2019s press conference.<\/p>\n<\/p>\n

That opened the door for other search engines to license ChatGPT, whereas Gemini supports only Google. Both are geared to make search more natural and helpful as well as synthesize new information in their answers. In other countries where the platform is available, the minimum age is 13 unless otherwise specified by local laws. On Dec. 11, 2024, Google released an updated version of its LLM with Gemini 2.0 Flash, an experimental version incorporated in Google AI Studio and the Vertex AI Gemini application programming interface (API). Since OpenAI\u2019s release of ChatGPT and Microsoft\u2019s introduction of chatbot technology in Bing, Google has prioritized AI as its central focus.<\/p>\n<\/p>\n

Our mission with Bard has always been to give you direct access to our AI models, and Gemini represents our most capable family of models. Unlike ChatGPT, however, Bard will give several versions \u2014 or “drafts” \u2014 of its answer for you to choose from. You’ll then be able to ask follow-up questions or ask the same question again if you don’t like any of the responses offered. The best part is that Google is offering users a two-month free trial as part of the new plan. The results are impressive, tackling complex tasks such as hands or faces pretty decently, as you can see in the photo below. It automatically generates two photos, but if you’d like to see four, you can click the “generate more” option.<\/p>\n<\/p>\n

Gemini Live in-depth voice chats<\/h2>\n<\/p>\n

Google\u2019s experimental AI chatbot Bard may be coming to the Google Messages app in the near future \u2013 and it promises to bring some major upgrades to your phone-based chats. Initially announced at the I\/O developer conference in May 2023, Gemini is finally starting to roll out to a handful of Google products. The company says it will launch a trusted tester program for Bard Advanced before opening it up more broadly to users early next year.<\/p>\n<\/p>\n

Google Gemini vs ChatGPT: Which AI Chatbot Wins in 2024? – Tech.co<\/h3>\n

Google Gemini vs ChatGPT: Which AI Chatbot Wins in 2024?.<\/p>\n

Posted: Wed, 13 Mar 2024 07:00:00 GMT [source<\/a>]<\/p>\n<\/p>\n

One saw the AI model respond to a video in which someone drew images, created simple puzzles, and asked for game ideas involving a map of the world. Two Google researchers also showed how Gemini can help with scientific research by answering questions about a research paper featuring graphs and equations. When Google announced Gemini, it only made the Gemini Pro model widely available through Bard. Gemini Pro, Google said at the time, performed at roughly the level of GPT-3.5, but with GPT-4 widely available, that announcement felt a bit underwhelming.<\/p>\n<\/p>\n

What other AI services does Google have?<\/h2>\n<\/p>\n

When Google Bard first launched almost a year ago, it had some major flaws. Since then, it has grown significantly with two large language model (LLM) upgrades and several updates, and the new name might be a way to leave the past reputation in the past. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article.<\/p>\n<\/p>\n

What is Google’s Gemini AI tool (formerly Bard)? Everything you need to know – ZDNet<\/h3>\n

What is Google’s Gemini AI tool (formerly Bard)? Everything you need to know.<\/p>\n

Posted: Fri, 09 Feb 2024 08:00:00 GMT [source<\/a>]<\/p>\n<\/p>\n

Google says they were pre-trained and fine-tuned on a variety of public, proprietary, and licensed audio, images, and videos; a set of codebases; and text in different languages. Upon Gemini’s release, Google touted its ability to generate images the same way as other generative AI tools, such as Dall-E, Midjourney and Stable Diffusion. Gemini currently uses Google’s Imagen 3 text-to-image model, which gives the tool image generation capabilities. A key challenge for LLMs is the risk of bias and potentially toxic content. According to Google, Gemini underwent extensive safety testing and mitigation around risks such as bias and toxicity to help provide a degree of LLM safety.<\/p>\n<\/p>\n

Silicon Valley\u2019s culture of releasing products before they\u2019re perfected is being tested by Google (GOOGL)\u2019s failed rollout of Bard, an A.I. Alexei Efros, a professor at UC Berkeley who specializes in the visual capabilities of AI, says Google\u2019s general approach with Gemini appears promising. \u201cAnything that is using other modalities is certainly a step in the right direction,\u201d he says. Collins says that Gemini Pro, the model being rolled out this week, outscored the earlier model that initially powered ChatGPT, called GPT-3.5, on six out of eight commonly used benchmarks for testing the smarts of AI software. Additionally, the video and tips about Assitant with Bard can’t be viewed on non-Tensor chip-powered Pixel devices.<\/p>\n<\/p>\n

When programmers collaborate with AlphaCode 2 by defining certain properties for the code samples to follow, it performs even better. Its remarkable ability to extract insights from hundreds of thousands of documents through reading, filtering and understanding information will help deliver new breakthroughs at digital speeds in many fields from science to finance. Gemini surpasses state-of-the-art performance on a range of benchmarks including text and coding.<\/p>\n<\/p>\n

For Adblock Plus on Google Chrome:<\/h2>\n<\/p>\n

ChatGPT, the massively popular AI chatbot launched by OpenAI last year, is verbose when compared to Google Bard. Bard uses Google’s own model, called LaMDA, often giving less text-heavy responses. The bot introduced itself as Yasa, developed by Reka, and gave me an instant rundown of all the things it could do for me. It had the usual AI tasks down, like general knowledge, sharing jokes or stories, and solving problems. Interestingly, Yasa noted that it can also assist in translation, and listed 28 languages it can swap between. While my understanding of written Hindi is rudimentary, I did ask Yasa to translate some words and phrases from English to Hindi and from Hindi to English.<\/p>\n<\/p>\n

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Before launching to the public, Gemini Pro was run through a series of industry standard benchmarks, and in six out eight of those benchmarks, Gemini outperformed GPT-3.5, Google says. That includes better performance on MMLU, or the massive multitask language understanding tasks, which is one of the key standards for measuring large AI models. It also outperformed on GSM8K, which measures grade school math reasoning.<\/p>\n<\/p>\n

Our first version of Gemini can understand, explain and generate high-quality code in the world\u2019s most popular programming languages, like Python, Java, C++, and Go. Its ability to work across languages and reason about complex information makes it one of the leading foundation models for coding in the world. Until now, the standard approach to creating multimodal models involved training separate components for different modalities and then stitching them together to roughly mimic some of this functionality. These models can sometimes be good at performing certain tasks, like describing images, but struggle with more conceptual and complex reasoning. This promise of a world responsibly empowered by AI continues to drive our work at Google DeepMind.<\/p>\n<\/p>\n

This makes it uniquely skilled at uncovering knowledge that can be difficult to discern amid vast amounts of data. Our new benchmark approach to MMLU enables Gemini to use its reasoning capabilities to think more carefully before answering difficult questions, leading to significant improvements over just using its first impression. Overall, it appears to perform better than GPT-4, the LLM behind ChatGPT, according to Hugging Face’s chatbot arena board, which AI researchers use to gauge the model’s capabilities, as of the spring of 2024. Sundar is the CEO of Google and Alphabet and serves on Alphabet\u2019s Board of Directors.<\/p>\n<\/p>\n

However, you can provide feedback to Bard’s response with a thumbs up or down by long pressing, as well as copy, forward, and favorite its answers, thus helping the AI learn if its reply was appropriate. You can also ask Bard for tips on using Gemini Pro for knowledge distillation, multimodal understanding, and code generation. In this experimental stage, you\u2019ll also be able to share feedback with Google to shape the future development of the Bard experience. Google says additional Gemini experiences and news will be coming in the next few months.<\/p>\n<\/p>\n

Following akeynote presentation at WWDC 2024, Apple SVP Craig Federighi confirmed plans to work with models, including Gemini, but he didn\u2019t divulge any additional details. Google says that a future version of Android will tap Nano to alert users to potential scams during calls. The new weather app on Pixel phones uses Gemini Nano to generate tailored weather reports. And TalkBack, Google\u2019s accessibility service, employs Nano to create aural descriptions of objects for low-vision and blind users.<\/p>\n<\/p>\n