Tag: Google Bard

  • Google Gemini 1.5 Successor Expected in December 2023

    Google Gemini 1.5 Successor Expected in December 2023

    Announced in early December 2023, Google’s Gemini lineup of multimodal large language models includes Gemini Ultra, Gemini Pro, Gemini Flash, and Gemini Nano. This family powers the chatbot of the same name, which was previously known as Google Bard. It started its journey in early February, rolling out to 10,000 testers for less than a month of trials before its general launch. Gemini faces stiff competition from ChatGPT, Copilot, and other AI systems. If everything goes according to plan, we can expect version 2.0 to be released this December.

    Current Versions and Updates

    At the moment, the stable releases for Google Gemini are version 1.5 for the model, dated May 14th, and the Android app, which is at build 1.0, number 668480831. This app was launched less than two months ago on August 29th and received several language updates on October 1st while maintaining the same build number. In June, Google introduced a free and open-source series of LLMs based on Gemini, called Gemma. This lighter version is already at version 2. It’s important to note that this does not mean it is derived from Gemini 2.0. The most recent updates to the Gemini models were launched last month, with Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002 coming out on September 24th.

    The Future of Gemini

    Unfortunately, details about Gemini 2.0 are still unclear. However, sources close to Google’s operations have disclosed to The Verge that this new model is on track to be released in December, coinciding with OpenAI’s anticipated launch of its next major AI model. But since Sam Altman has recently refuted this rumor, Google might seize the opportunity to launch its next-generation AI at least a few weeks ahead of its main competitor.

    When it comes to features and capabilities, many are speculating that Google Gemini 2.0 will advance toward achieving reasoning skills that could match or even surpass those of humans. The Android app will surely undergo necessary updates to support the new advancements in the model.

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  • An Early Sneak Peek: Google Assistant with Bard on Android Phone

    An Early Sneak Peek: Google Assistant with Bard on Android Phone

    Google Assistant with Bard: A Sneak Peek into the Future

    Google has been hard at work developing a new version of its Assistant, and it's called Bard. Bard is a large language model (LLM) that boasts impressive capabilities such as generating text, translating languages, creating creative content, and providing informative answers to your questions.

    Last year, Google announced its plans to integrate Bard with Google Assistant for Android phones. This integration means that users will soon be able to harness the power of Bard to perform all the tasks that are currently possible with Google Assistant, and much more.

    While an official release date for Assistant with Bard is still unknown, developer Dylan Roussel has given us a glimpse into its interface.

    A User-Friendly Interface

    From the sneak peek shared by Roussel, it is evident that Google has designed Assistant with Bard to be user-friendly. The setup screen provides a clear explanation of how Bard works and the data it accesses. Additionally, users have the option to connect their Google apps, enabling a more personalized experience similar to the current Bard web app's extension functionality.

    Once the setup is complete, users can tap on the arrow icon on the popup, which then reveals a comprehensive interface. This interface offers helpful suggestions and allows users to either type their questions or prompts.

    A World of Possibilities

    The integration of Bard with Google Assistant opens up a world of possibilities. With its language generation capabilities, Bard can assist users in creating various types of content, be it written articles, blog posts, or even creative pieces. Additionally, its translation feature will make communication across languages seamless and effortless.

    Furthermore, Bard's ability to provide informative answers ensures that users can rely on it for accurate and reliable information. Whether you need to know the weather forecast, the latest news, or simply want to learn something new, Assistant with Bard is there to assist you.

    Conclusion

    While we eagerly await the official release of Google Assistant with Bard, the sneak peek into its interface has left us excited about its potential. With its vast range of capabilities, Bard promises to revolutionize the way we interact with our devices and access information. Get ready for a new era of intelligent and creative assistance with Google Assistant and Bard.

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  • Gemini Pro Empowers Bard to Challenge ChatGPT: Google’s Launch of Gemini AI Nano and Ultra

    Gemini Pro Empowers Bard to Challenge ChatGPT: Google’s Launch of Gemini AI Nano and Ultra

    Google Gemini: A Powerful AI Model for Chatbots

    Google has recently unveiled its latest addition to the world of AI chatbots – the Gemini Pro. This brand-new AI model is set to revolutionize the capabilities of Google's existing chatbot, the Google Bard. With Gemini Pro, Google aims to compete with other AI chatbots like ChatGPT, which are already equipped with advanced models like GPT-3 and GPT-4.

    The Most Capable AI Model from Google

    According to Google, Gemini is their most capable AI model to date. Its powerful capabilities enable it to seamlessly process and integrate various forms of data, including text, code, audio, images, and videos. This versatility makes Gemini a highly adaptable and robust AI model, capable of handling a wide range of tasks and applications.

    From Data Centers to Mobile Devices

    One of the key advantages of Gemini is its ability to run on different systems, from large data centers to mobile devices. This flexibility ensures that Gemini can be integrated into a variety of platforms, providing users with a consistent and efficient experience across different devices.

    Gemini Nano, Pro, Ultra

    In addition to the Gemini Pro, Google has also introduced two other variants of this AI model – Gemini Nano and Gemini Ultra. These variants cater to different needs and requirements, offering users a range of options to choose from based on their specific use cases.

    Pricing and Specifications

    Google has not yet released specific pricing details for the Gemini models. However, given Google's track record of providing competitive pricing for its AI products, it is expected that the Gemini models will be accessible to a wide range of users.

    As for the specifications, Google has highlighted the versatility and processing power of the Gemini models. With their ability to seamlessly handle various types of data, users can expect high-performance and accurate results from these AI models.

    In conclusion, Google's latest AI model, Gemini, is set to elevate the capabilities of its AI chatbot, the Google Bard. With its impressive processing capabilities and versatility, Gemini aims to rival other advanced AI chatbots in the market. Whether it's running on data centers or mobile devices, Gemini promises to deliver a seamless and powerful AI experience.

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  • Crucial Flaws Unearthed in Large Language Models: A Dive into Security Concerns

    Crucial Flaws Unearthed in Large Language Models: A Dive into Security Concerns

    The rapid advent of Large Language Models (LLMs) such as OpenAI’s ChatGPT and Google Bard has marked a significant milestone in the realm of artificial intelligence. These models, powered by extensive training over vast swathes of internet data, have found a niche in various applications including chatbots. However, a recent study by AI security startup Mindgard and Lancaster University has shed light on critical vulnerabilities inherent in these models.

    Model Leeching: A Gateway to Exploitation

    The researchers employed a technique termed as “model leeching” to delve into the inner workings of LLMs, particularly focusing on ChatGPT-3.5-Turbo. By engaging the model with specific prompts, they managed to replicate crucial elements of the LLM in a model a hundred times smaller. This replicated model served as a testing ground to unearth vulnerabilities in ChatGPT, leading to an 11% increase in the success rate of exploiting these vulnerabilities.

    Transferring Security Flaws: An Unsettling Reality

    The findings, slated to be presented at CAMLIS 2023 (Conference on Applied Machine Learning for Information Security), underline the ease with which critical aspects of LLMs can be replicated and exploited. The study accentuates the potential risks such as data exposure, bypassing of safeguards, inaccurate responses, and enabling targeted attacks. Moreover, it lays bare the fact that security vulnerabilities can be seamlessly transferred between closed and open-source machine learning models, a concern given the industry’s reliance on publicly available models.

    A Wake-Up Call for Cyber Resilience

    The exploration of latent weaknesses across AI technologies prompts a call for heightened cyber resilience. As organizations venture into creating their own LLMs for diverse applications like smart assistants, financial services, and enterprise solutions, acknowledging and mitigating the associated cyber risks is of paramount importance. The research beckons a meticulous approach in understanding and measuring the cyber risks tied to the adoption and deployment of LLM technology, ensuring a secure and robust AI-driven future.

    For a deeper insight into this critical research, visit TechTimes​

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