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Gemini 1.5 Pro can analyze, classify and summarize huge quantities of information – including documents with thousands of pages. 📄 When given a 402-page transcript from Apollo 11’s mission to the moon, it was able to reason about conversations and events it finds. ↓

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Google DeepMind

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214,557 görüntüleme • 2 yıl önce •via X (Twitter)

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Tatarin profil fotoğrafı
Tatarin2 yıl önce

@Google When?

Felipe Cantalice profil fotoğrafı
Felipe Cantalice2 yıl önce

Gemini should be added to every Livestream class, for students to ask questions and take some notes or expand the knowledge

Omar profil fotoğrafı
Omar2 yıl önce

Can't wait to use this to "talk" with the vulkan spec when I need to learn something

Skills Gap Trainer profil fotoğrafı
Skills Gap Trainer2 yıl önce

Facing global challenges, risks, threats & dangers requires ability to understand large quantity of data spread across thousands of books. With #Gemini15Pro, we're now equipped to forecast & design solutions to global risks, for a safer & more predictable future. #GoogleDeepMind

isai profil fotoğrafı
isai2 yıl önce

but i can't watch a specific part of a YouTube video through gemini 1.5

Muhammad Ahmad profil fotoğrafı
Muhammad Ahmad2 yıl önce

@Google 🤔🤔🤔

Nikhil Kumar Singh profil fotoğrafı
Nikhil Kumar Singh2 yıl önce

@Google FOR THE SUCCESS 👽👽👽👽

Saurabh Chalke ᯅ profil fotoğrafı
Saurabh Chalke ᯅ2 yıl önce

This is cool! Really interested in how this achieves the 10M context window? Time to dust out my coding test again, I think, which is: "here is a tarball of a repository. Write a new module that does X."

Arafath M profil fotoğrafı
Arafath M2 yıl önce

@Google Gemini gives a wrong answer to the below straightforward question. Does Gemini need more training? A is bigger than B. C is bigger than A. D is smaller than B.  Which is the biggest?

بندہ ناچیز profil fotoğrafı
بندہ ناچیز2 yıl önce

"Be the change that you wish to see in the world." - Mahatma Gandhi

Benzer Videolar

Gemini 2.5 can now organize vast amounts of multimodal information, reason about everything it sees, and write code to simulate anything. ↓ #GoogleIO
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Gemini 2.5 can now organize vast amounts of multimodal information, reason about everything it sees, and write code to simulate anything. ↓ #GoogleIO

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Gemini 1.5 Pro can understand tasks and questions across different modalities because of its long context understanding. When given a 44-minute Buster Keaton film, it's able to find small details in the film and understand plot points. #GeminiAI
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Gemini 1.5 Pro can understand tasks and questions across different modalities because of its long context understanding. When given a 44-minute Buster Keaton film, it's able to find small details in the film and understand plot points. #GeminiAI

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Before Artemis II, there was Apollo. From the Apollo 1 fire to the final moon landing in 1972, NASA’s race to the moon was defined by risk, innovation, and history-making firsts. Here’s a timeline of every Apollo mission.
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Before Artemis II, there was Apollo. From the Apollo 1 fire to the final moon landing in 1972, NASA’s race to the moon was defined by risk, innovation, and history-making firsts. Here’s a timeline of every Apollo mission.

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Today at #GoogleIO, we’re demonstrating how our partnership with Google Cloud is redefining the landscape of Intelligent Content Management. Leveraging the advanced capabilities of Google’s Gemini 2.5 Pro, our new AI Agent with enhanced data extraction transforms complex, unstructured data from various sources—including scanned PDFs, images, and diverse forms—into structured, actionable insights. Check out the demo below to watch Gemini 2.5 Pro and Box AI agents in action. With the Box AI Agent powered by Gemini 2.5 Pro you can: ⭐ Automatically, and instantly, classify and organize documents ⭐ Extract accurate insights and information from documents and images ⭐ Enable workflow automation by leveraging structured and easily retrievable content Our partnership with Google is not just about enhancing current capabilities; it’s about unlocking the full potential of AI, and models like Gemini 2.5 Pro, for intricate enterprise use cases.
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Today at #GoogleIO, we’re demonstrating how our partnership with Google Cloud is redefining the landscape of Intelligent Content Management. Leveraging the advanced capabilities of Google’s Gemini 2.5 Pro, our new AI Agent with enhanced data extraction transforms complex, unstructured data from various sources—including scanned PDFs, images, and diverse forms—into structured, actionable insights. Check out the demo below to watch Gemini 2.5 Pro and Box AI agents in action. With the Box AI Agent powered by Gemini 2.5 Pro you can: ⭐ Automatically, and instantly, classify and organize documents ⭐ Extract accurate insights and information from documents and images ⭐ Enable workflow automation by leveraging structured and easily retrievable content Our partnership with Google is not just about enhancing current capabilities; it’s about unlocking the full potential of AI, and models like Gemini 2.5 Pro, for intricate enterprise use cases.

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Hours before a court-ordered deadline, the Justice Department releases thousands of pages of records tied to Jeffrey Epstein, including grand jury material, FBI documents and evidence, much of it heavily redacted.
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In December, we launched Gemini 1.0 Pro. Today, we're introducing Gemini 1.5 Pro! 🚀 This next-gen model uses a Mixture-of-Experts (MoE) approach for more efficient training & higher-quality responses. Gemini 1.5 Pro, our mid-sized model, will soon come standard with a 128K-token context window, but starting today, developers + customers can sign up for the limited Private Preview to try out 1.5 Pro with a groundbreaking and experimental 1 million token context window! The 1M tokens feature unlocks huge possibilities for devs - upload hundreds of pages of text, entire code repos, and long videos and let Gemini reason across them. It's still experimental and early and we’d love your feedback - learn more here.
0:20

In December, we launched Gemini 1.0 Pro. Today, we're introducing Gemini 1.5 Pro! 🚀 This next-gen model uses a Mixture-of-Experts (MoE) approach for more efficient training & higher-quality responses. Gemini 1.5 Pro, our mid-sized model, will soon come standard with a 128K-token context window, but starting today, developers + customers can sign up for the limited Private Preview to try out 1.5 Pro with a groundbreaking and experimental 1 million token context window! The 1M tokens feature unlocks huge possibilities for devs - upload hundreds of pages of text, entire code repos, and long videos and let Gemini reason across them. It's still experimental and early and we’d love your feedback - learn more here.

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Gemini 3.1 Pro comes with SOTA reasoning💡 It can be used in Gemini CLI to reason across multiple sources at once: Google Docs, code, local files. See it analyze user feedback and implement a fix live below 🧑‍💻
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Gemini 3.1 Pro comes with SOTA reasoning💡 It can be used in Gemini CLI to reason across multiple sources at once: Google Docs, code, local files. See it analyze user feedback and implement a fix live below 🧑‍💻

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Here’s how Gemini 2.5 Flash-Lite built a research prototype that can instantly transform large PDF files into interactive web apps - making it easier to summarize and understand dense information. 📄 Try it now in Google AI Studio →
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Here’s how Gemini 2.5 Flash-Lite built a research prototype that can instantly transform large PDF files into interactive web apps - making it easier to summarize and understand dense information. 📄 Try it now in Google AI Studio →

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As one example of 1.5 Pro’s sophisticated multimodal understanding and reasoning capabilities with long context, when given a 44-minute silent film, the model can analyze various plot points and events, and even makes sense of small details you might have missed.
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JUST IN: Google releases Gemini 1.5, a powerful MoE model. It's a huge breakthrough. The model has the longest context window ever seen: 1 million tokens. It can process 1 hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words in a single prompt. When tested on text, code, image, audio and video evaluations, 1.5 Pro outperforms 1.0 Pro on 87% of the benchmarks used for developing LLMs. You can can sign up in AI Studio to try it out.

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Pope Paul VI's message to Apollo 11 upon landing on the Moon: "Honor, greetings and blessings to you, conquerors of the Moon, pale lamp of our nights and our dreams! Bring to it, with your living presence, the voice of the Spirit, a hymn to God, our Creator and our Father."

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🚨 ChatGPT gets video input capabilities? Looks like we can now upload videos via “Add files” (or drag and drop) in the phone app and ask it to: • Summarize videos • Provide a transcript • Analyze, give ideas & more

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1:18

After the cute Mirokaï humanoid robot was connected to Gemini2.0, its embodied intelligence evolved. It has emotional perception, understands people's emotional intentions, can interact with people in natural voice, perceive the environment in 3D, and recognize real physical objects. When Mirokaï needs to find glasses, it can move around autonomously and perceive and reason about the surrounding objects until it finds the target. After Google released Gemini, which has cognitive reasoning about the physical world last year, it found a way to get rid of the limitations of LLM. Now they are also engaged in physical AI and are in the lead.

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We partnered with ICC to show how Gemini 3 Pro can analyze video content. By uploading a segment of the Cricket World Cup, Gemini can seamlessly process visual and audio data to identify key players, explain techniques, and highlight crucial turning points. 🏏

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