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With Vertex AI Agent Builder, Google Cloud aims to simplify agent creation

TechCrunch · 1y ago

With Vertex AI Agent Builder, Google Cloud aims to simplify agent creation

Google Cloud has unveiled Vertex AI Agent Builder, a no-code tool to help businesses create AI agents capable of building and deploying generative, chatbot-style conversational agents. Leveraging Google's Gemini large language models, the product uses grounding techniques to tie answers to reliable sources, such as Google Search or enterprise data. In a demo, the tool analysed a company's previous marketing campaigns to generate new ideas consistent with its brand style. The new capabilities are now available and support multiple languages with country-based API endpoints in the US and EU.

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Google rolls out Project Mariner, its web-browsing AI agent | TechCrunch

TechCrunch · 3m ago

Google rolls out Project Mariner, its web-browsing AI agent | TechCrunch

Google is expanding access to Project Mariner, its AI web-browsing agent, to more users and developers. This update allows the AI to handle multiple tasks simultaneously. Available to U.S. subscribers of Google's $249.99/month AI Ultra plan, it facilitates interactions like purchasing tickets without visiting third-party sites. Google is integrating Mariner with the Gemini API and Vertex AI. Competing with AI tools from OpenAI and Amazon, Project Mariner aims to revolutionize user interactions with the web.

Google adds Azure & AWS support, enhances Cloud security with AI integration

Livemint

Livemint · 1y ago

Google adds Azure & AWS support, enhances Cloud security with AI integration

Google Cloud will now support Microsoft Azure and Amazon AWS clouds, allowing enterprises to manage their security solutions across all cloud platforms. This integration aims to provide heightened levels of security for users. Additionally, Google plans to prioritize the integration of artificial intelligence (AI) into existing solutions to enhance the user experience. With AI, Google aims to simplify native language translation into query language, providing actionable information and summarizing the data. The integration of AI and multi-cloud management is expected to streamline tasks and help address the talent shortage in the security industry.

Google will shield AI users from copyright challenges, within limits

Arstechnica

Arstechnica · 1y ago

Google will shield AI users from copyright challenges, within limits

Google has announced its plans to protect users of its generative AI systems on Google Cloud and Workspace platforms from intellectual property violation claims. The company aims to offer indemnification for both the use of copyrighted works for training AI and the output generated by the systems. The policy covers software such as Vertex AI and Duet AI, used for generating content in Google Workspace and Cloud programs. Users will be protected against claims of third-party IP infringement, although intentional misuse is not covered. Google's move follows similar commitments by Microsoft and Adobe.

Google Gemini 1.5 Pro shows that the company has even bigger plans for the future of AI — but you won't be able to enjoy it just yet

Techradar

Techradar · 1y ago

Google Gemini 1.5 Pro shows that the company has even bigger plans for the future of AI — but you won't be able to enjoy it just yet

Google has announced upgrades for its Gemini AI models, revealing its plans for the future of AI in enterprises. The new Gemini 1.5 Pro offers improved performance and "a breakthrough in long-context understanding," allowing for longer prompts. Additionally, Google Cloud has expanded access to Gemini models for Vertex AI customers, enabling more businesses to leverage the platform for increased productivity and efficiency. The upgrade is currently available as a preview for developers and enterprise customers. Gemini 1.0 Pro and Gemini 1.0 Ultra are also being offered to customers within Google Cloud's Vertex AI offering.

Google will shield AI users from copyright challenges, within limits

Arstechnica

Arstechnica · 1y ago

Google will shield AI users from copyright challenges, within limits

Google plans to protect users of its generative AI systems on Google Cloud and Workspace platforms against claims of intellectual property violation. The policy covers the use of copyrighted works for training AI as well as the output generated by the systems. Google's indemnification includes content created with tools like Vertex AI and Duet AI used in Google Workspace and Cloud. The company will assume responsibility for legal risks related to training data use and also indemnify users against claims that content generated by the AI systems violates intellectual property rights, except for intentional infringement.

Google to Launch Gemini AI Model to Compete with OpenAI's GPT-4

CityLife Capetown

CityLife Capetown · 1y ago

Google to Launch Gemini AI Model to Compete with OpenAI's GPT-4

Google is ready to release its conversational AI software, Gemini, to rival OpenAI's GPT-4. It includes large-language models to power chatbots and text generation. Gemini can assist with tasks like drafting emails, coding, and creating unique images. Google will offer Gemini through its Google Cloud Vertex AI service. The release is crucial as it aims to compete with OpenAI's successful ChatGPT. Google has also introduced generative AI to its Search tool in India and Japan, and made AI-powered tools available to enterprise customers for $30 per user. Google is focused on responsible AI advancement through its Digital Futures Project. Official response from Google is pending, but early access granted to select companies hints at an imminent release.

HCL Technologies launches Enterprise AI Foundry

Economic Times

Economic Times · 1y ago

HCL Technologies launches Enterprise AI Foundry

HCL Technologies has introduced the Enterprise AI Foundry, an integrated suite of assets that combines data engineering and artificial intelligence (AI) to accelerate AI-led transformation across business value chains. The Foundry is designed to simplify and scale enterprise AI journeys, removing the complexity of AI foundation models and data silos. It is compatible with major cloud platforms such as AWS, Azure, and GCP, as well as on-premises infrastructure. The Enterprise AI Foundry aims to streamline the creation of AI-powered applications while ensuring trust and reliability.

India among fastest-growing, strategically significant markets: Google Cloud Country MD

YourStory

YourStory · 3m ago

India among fastest-growing, strategically significant markets: Google Cloud Country MD

India is a crucial and rapidly expanding market for Google Cloud due to its sizeable consumer base and role as a global builder economy. Bikram Singh Bedi, VP and Country MD for Google Cloud, highlights India’s dual aspects: its operational scale and its contribution to global innovation. Google Cloud, with data centers in Mumbai and Delhi certified by MeitY, supports various sectors including financial services and telecommunications, emphasizing substantial ongoing investments and high growth potential in the region.

Google goes “open AI” with Gemma, a free, open-weights chatbot family

Arstechnica

Arstechnica · 1y ago

Google goes “open AI” with Gemma, a free, open-weights chatbot family

Google has introduced Gemma, a new family of free, open-weights AI language models. These models, similar to Google's more powerful Gemini models, can be run on desktop or laptop computers. Gemma comes in two sizes, 2 billion and 7 billion parameters, and includes pre-trained and instruction-tuned variants. This is Google's first significant open large language model release since OpenAI's ChatGPT. Gemma aims to match Meta's open-weights model strategy and attract more developers to Google's Vertex AI cloud platform. Google also released a "Responsible Generative AI Toolkit" to provide guidance and tools for developing safe AI applications.

Hugging Face clones OpenAI’s Deep Research in 24 hours

Arstechnica

Arstechnica · 6m ago

Hugging Face clones OpenAI’s Deep Research in 24 hours

Hugging Face released "Open Deep Research," an open-source AI research agent, a day after OpenAI's "Deep Research" launch. The agent aims to replicate Deep Research's capabilities, like autonomous web browsing and report creation, while being freely available to developers. It achieved 55.15% on the GAIA benchmark against OpenAI's 67.36%. The project highlights the potential of integrating agent frameworks into AI models, enhancing their performance in complex tasks. Hugging Face plans further improvements and collaborations.

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