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Google unveils Trillium chip; Gemini 1.5 Pro with 2M tokens made available for developers
Economic Times
·
1y ago
Medial
Google has announced the release of Gemini 1.5 Pro with an expanded context window of two million tokens. The update will allow users to upload and analyze dense files like video and long code. Sundar Pichai, CEO of Google, made the announcement at the annual developer conference, Google I/O. Gemini models are used by over 1.5 million developers to debug code, gain insights, and build AI applications. Furthermore, Google introduced the Trillium TPUs, its sixth-generation processing units with improved compute performance. Trillium will be available to Google Cloud customers in late 2024.
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Related News
Google I/O 2024: From Gemini 1.5 Pro, Project Astra to Trillium, ET brings you the low down
Economic Times
·
1y ago
Medial
Google has unveiled Gemini 1.5 Pro at its annual developer conference, Google I/O. The new version offers an expanded context window of two million tokens and is available for developers in private preview. This advanced version allows users to interact with Gemini multimodal foundation model directly through an app on Android and iOS. Additionally, Google introduced Trillium, its sixth-generation tensor processing unit (TPU), which delivers improved compute performance. The company also showcased Project Astra, an AI assistant that can remember and process visual information. Lastly, Gemma, a family of open language models, was used to train Navarasa 2.0 for processing content in 15 Indian languages.
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Google upstages itself with Gemini 1.5 AI launch, one week after Ultra 1.0
Arstechnica
·
1y ago
Medial
Google has launched Gemini Pro 1.5, following the recent release of its Gemini Ultra 1.0 AI language model. Gemini Pro 1.5 is said to achieve similar quality to Ultra 1.0 while using less compute. The update comes just a week after the Ultra version was presented as a major feature of the Gemini Advanced tier of Google One subscription service. Gemini Pro 1.5 is part of a new generation of language models (LLMs) that deliver improved long-context understanding and can process up to 1 million tokens, making it the largest context window of any large-scale foundation model to date.
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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
·
1y ago
Medial
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.
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Google unveils Arm-based chip in fight with rivals to make cloud computing more affordable
Economic Times
·
1y ago
Medial
Google announced several major initiatives at its annual Google Cloud Next conference in Las Vegas. The tech giant unveiled its first custom Arm-based processor, called Axion Processor, which is designed to deliver better performance and energy efficiency for data centers. Google also introduced monetization options for its Google Workspace productivity suites, offering competitive rates for users. Additionally, the company launched Gemini 1.5 Pro, an AI large language model with the world's largest context window, and introduced other enhancements for developers and cybersecurity capabilities. These announcements helped boost Alphabet's market capitalization to record highs.
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Gemini 2.0 is available to everyone: Here’s everything that’s new | Mint
Livemint
·
6m ago
Medial
Google has launched Gemini 2.0, its new AI model, featuring the widely available Gemini 2.0 Flash in the Gemini app, promising advancements for developers. Alongside this, Gemini 2.0 Pro, an experimental version, is introduced, targeting complex tasks with a 2 million token context window for enhanced understanding and reasoning. A cost-effective Gemini 2.0 Flash-Lite model with a 1 million token context window is also available for preview, promising comparable performance and speed.
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ETtech Explainer | Google’s Gemini 1.5 retools AI in challenge to rival firms
Economic Times
·
1y ago
Medial
Google has introduced Gemini 1.5, the next generation of its large, natively multimodal generative AI models. This updated version delivers enhanced performance and can process more data compared to its predecessors. Gemini 1.5 Pro is optimized for scaling across various tasks, capable of processing up to 700,000 words or 30,000 lines of code. It can also analyze up to 11 hours of audio or one hour of video in different languages. The new model features a context window of up to 1 million tokens, allowing it to process more information and produce more consistent and relevant output.
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Here's everything you need to know about Gemini 1.5, Google's newly updated AI model that hopes to challenge OpenAI
Business Insider
·
1y ago
Medial
Google is set to release a new large language model (LLM) called Gemini 1.5, designed to compete with similar models from startups and other tech giants. Gemini is a multi-modal AI model capable of processing various types of data, such as images, text, audio, video, and coding languages. Gemini 1.5 is an upgraded version that promises faster and more efficient performance, thanks to a technique called "mixture of experts." It has an increased context window capacity of up to 1 million tokens, allowing for more extensive data analysis. Google claims Gemini 1.5 outperformed its predecessor in benchmark tests and underwent thorough ethics and safety testing.
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Google is bringing Gemini CLI to developers’ terminals
The Verge
·
1m ago
Medial
Google has introduced Gemini CLI, an open-source AI agent, to developers’ terminals. This tool enhances coding, content generation, and research, utilizing the Gemini 2.5 Pro model. It supports advanced tasks like image and video generation and offers integration with Gemini Code Assist and Google Search. Available for free initially, it allows 60 requests per minute and 1,000 daily, providing a competitive edge over similar AI options. Google's plan for exceeding usage limits or future pricing is not yet specified.
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Google’s Flagship AI Model Gets a Mighty Fast Upgrade
Wired
·
1y ago
Medial
Google DeepMind has released an upgrade to its AI model, Gemini Pro 1.5, just two months after the initial launch. This new version is more powerful and has the ability to handle large amounts of text, video, or audio input at once. The upgraded model, which is as capable as the larger Gemini Ultra, can analyze lengthy documents, answer questions about movies, and identify important takeaways from Discord discussions. Google hopes that developers will be able to build new types of applications using this enhanced model.
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Over 1.5 million developers use Gemini globally, India one of the largest user bases: Google Deepmind executive
Economic Times
·
1y ago
Medial
Gemini, Google's suite of multimodal AI models, has gained popularity among developers, with over 1.5 million users worldwide. India specifically has one of the largest developer bases on Google AI Studio. Gemini 1.5 Pro now offers a two million token context window, allowing for more comprehensive results. Google has also released Gemma2, the next generation of open models for AI innovation. The team at Google DeepMind India has been focused on enabling open-source resources to help developers build language solutions for India. They have completed phase 1 of Project Vaani, which involves capturing spoken languages, and are moving on to phase 2. A benchmark called IndicGenBench has been introduced for Indian languages, along with the CALM framework that allows developers to combine their specialized language models with Gemma models. The Agricultural Landscape Understanding (ALU) Research API has also been announced to make agricultural practices more data-driven and efficient. Google Wallet APIs and India-specific pricing for Google Maps Platform are being introduced to simplify integration and lower costs for developers. Collaboration with the Open Network for Digital Commerce (ONDC) is offering discounts on select Google Maps Platform APIs for ONDC developers.
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