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Google’s generative AI chatbot, Bard, is set to receive a substantial upgrade with the integration of Gemini, Google’s latest and most advanced AI model. This update is expected to significantly enhance Bard’s capabilities, providing it with improved reasoning, planning, and understanding, among other features. Gemini, available in Ultra, Pro, and Nano sizes, is designed to run seamlessly across a range of devices, from mobile phones to data centers.

The deployment of Gemini to Bard will occur in two phases. Initially, Bard will be upgraded with a tailored version of Gemini Pro, available in English in over 170 countries. Subsequently, Google plans to introduce Bard Advanced, granting users access to Gemini Ultra, the most powerful AI model. These enhancements mark the most significant quality improvement for Bard since its initial launch, promising heightened proficiency in tasks such as understanding and summarizing content, reasoning, brainstorming, writing, and planning.

Gemini Pro underwent rigorous testing against industry-standard benchmarks, showcasing its superiority over GPT-3.5 in six out of eight tests, including MMLU and GSM8K. However, it’s worth noting that GPT-3.5 is over a year old, framing this launch as more of a catch-up move than a revolutionary leap. Despite this, the improvements aim to position Bard as a more capable and versatile AI, offering users an enhanced and refined experience.

Gemini Pro will initially power text-based prompts in Bard, with plans for future expansion to include multimodal support, incorporating both text and images. Looking ahead to 2024, Bard Advanced will make its debut, featuring Gemini Ultra. This version promises a comprehensive AI experience capable of understanding and acting on various types of information, such as text, images, audio, video, and code. Google intends to initiate a trusted tester program for Bard Advanced before a broader release, emphasizing the importance of safety checks in the development process. The update builds upon several recent improvements to Bard, positioning it as a robust and evolving AI chatbot.

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text-generation-webui を使用してローカルでLLMを動かし、
AIとチャットを行ってみました。

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Google has recently announced a significant enhancement to its Bard AI chatbot, enabling it to provide specific answers to questions related to YouTube videos. While the initial YouTube Extension for Bard, launched in September, allowed users to find specific videos, the latest update empowers the chatbot to respond to queries about the content within videos.

This advancement means users can now engage in richer conversations with Bard, asking detailed questions such as the number of eggs required in a recipe featured in a particular video. Google acknowledges the users’ desire for deeper interaction with YouTube content and aims to fulfill this through Bard’s expanded capabilities.

This development follows YouTube’s recent experimentation with new generative AI features, introducing an AI conversational tool that answers questions about the platform’s content. This tool employs large language models to generate responses, utilizing information from both YouTube and the broader web. Users can now pose questions about the video they are watching, and the AI-driven conversation unfolds in real-time alongside the video playback. Additionally, YouTube has introduced a comments summarizer tool, leveraging generative AI to organize and summarize topics discussed in video comments, providing users with an overview of community discussions.

Coinciding with these updates, Google has expanded access to Bard for teenagers in most countries globally. In a blog post, Google highlighted the potential for teens to use Bard as a tool for inspiration, discovering new hobbies, and solving everyday problems. Whether seeking advice on university applications or exploring leisure activities, teens can now tap into Bard’s capabilities for a wide range of inquiries. This move aligns with Google’s commitment to making Bard a valuable resource for teens across various aspects of their lives.

Yuuma

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Samsung has introduced its generative AI model, Samsung Gauss, at the Samsung AI Forum 2023. Comprising three tools—Samsung Gauss Language, Samsung Gauss Code, and Samsung Gauss Image—the model aims to enhance productivity across various applications. Samsung Gauss Language is a large language model similar to ChatGPT, capable of understanding and responding to human language. This tool can assist with tasks such as email writing, document summarization, and language translation. Samsung plans to integrate this language model into its devices like phones and laptops. The availability of the model for interaction in English and Korean remains undisclosed.

The Samsung Gauss Code, designed to work with the code assistant code.i, focuses specifically on development code. It aims to assist developers in writing code swiftly, supporting code description and test case generation through an interactive interface. Samsung Gauss Image, as the name implies, focuses on image generation and editing. It can potentially convert low-resolution images into high-resolution ones. While currently limited to internal use, Samsung plans to release Gauss to the public “in the near future,” with a potential application in the Galaxy S24, based on the generative AI model, expected as early as 2024.

Additionally, Samsung has established an AI Red Team to monitor security and privacy concerns throughout the AI development process, ensuring adherence to ethical principles. The company had previously imposed a temporary ban on generative AI tools, including ChatGPT and Google’s Bard, on its devices following an internal data leak.

Samsung’s commitment to generative AI research collaboration with industry and academia was highlighted by Daehyun Kim, the executive vice president of the Samsung Research Global AI Center, at the AI Forum. The name “Samsung Gauss” pays homage to the mathematician Carl Friedrich Gauss, whose normal distribution theory is considered fundamental to AI and machine learning. You can check out the detail event article from Samsaung here.

Yuuma

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Generative AI systems, which generate content in various formats, are increasingly prevalent across multiple fields like medicine, news, politics, and even providing companionship in social interactions. Initially, these systems primarily produced information in a single format, such as text or graphics, but there is now a notable trend towards enhancing their adaptability to work with additional formats like audio (including voice and music) and video.

The rising usage of generative AI systems underscores the critical need to evaluate potential risks associated with their deployment. As these technologies become more widespread and integrated into diverse applications, concerns about public safety are mounting. Consequently, assessing the potential risks posed by these systems has become a top priority for AI developers, policymakers, regulators, and civil society.

The increasing utilization of these systems underscores the essentiality of evaluating potential dangers linked to the implementation of generative AI systems. Thus, it is becoming increasingly crucial for AI developers, regulators, and civil society to appraise the potential threats these systems might pose. The development of AI that could propagate misinformation raises ethical questions about its societal impact.

In response to these concerns, DeepMind, Google’s AI research lab, has published a paper proposing a framework for assessing the societal and ethical risks associated with AI systems. DeepMind’s proposal emphasizes the necessity for engagement from various stakeholders, including AI developers, app developers, and the general public, in evaluating and auditing AI systems. The research lab underscores the significance of examining AI systems at the “point of human interaction” and understanding their integration into society.

You can checkout the paper here.

Asahi

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