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Woot! The multimodal party is really getting started now. Check out Gemini 1.5 pro in action below ⤵️ With a mind boggling 1M token context window you can talk to full length movies, podcasts, and a boat load of docs. Also props to Google for being ultra transparent about... show more

Bilawal Sidhu

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20,910 次观看 • 2 年前 •via X (Twitter)

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Google announces Gemini 1.5 blog: Gemini 1.5 Pro, 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

Google announces Gemini 1.5 blog: Gemini 1.5 Pro, 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

AK

13,850 次观看 • 2 年前

🚨 Google just dropped Gemini Pro 1.5, the next version of its AI model with a 1,000,000+ token context length. The model can now understand entire books, full movies, and podcast series' all in one go. This surpasses all other competitor Chatbot context windows by a longshot. Gemini Pro 1.5 now uses a Mixture-of-Experts (MoE) approach for more efficient training and higher-quality responses. Impressive to see Google ship Pro 1.5 mid-February just after the launch of Pro 1.0 in December, and Advanced last week.

🚨 Google just dropped Gemini Pro 1.5, the next version of its AI model with a 1,000,000+ token context length. The model can now understand entire books, full movies, and podcast series' all in one go. This surpasses all other competitor Chatbot context windows by a longshot. Gemini Pro 1.5 now uses a Mixture-of-Experts (MoE) approach for more efficient training and higher-quality responses. Impressive to see Google ship Pro 1.5 mid-February just after the launch of Pro 1.0 in December, and Advanced last week.

Rowan Cheung

792,363 次观看 • 2 年前

New ways for developers to build with Gemini → 😎 Gemini 1.5 Flash joins 1.5 Pro in public preview via the Gemini API in Google AI Studio 🥳 A new Context Caching feature in the Gemini API 🤗 A preview of our 2 million context window #GoogleIO

New ways for developers to build with Gemini → 😎 Gemini 1.5 Flash joins 1.5 Pro in public preview via the Gemini API in Google AI Studio 🥳 A new Context Caching feature in the Gemini API 🤗 A preview of our 2 million context window #GoogleIO

Google for Developers

17,467 次观看 • 2 年前

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.

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.

Sundar Pichai

852,577 次观看 • 2 年前

Introducing Personal Intelligence. It's our answer to a top request: you can now personalize Google Gemini by connecting your Google apps with a single tap. Launching as a beta in the U.S. for Pro/Ultra members, this marks our next step toward making Gemini more personal, proactive and powerful. Check it out!

Introducing Personal Intelligence. It's our answer to a top request: you can now personalize Google Gemini by connecting your Google apps with a single tap. Launching as a beta in the U.S. for Pro/Ultra members, this marks our next step toward making Gemini more personal, proactive and powerful. Check it out!

Josh Woodward

204,505 次观看 • 5 个月前

Gemini-1.5 Pro has its spotlight stolen today, and people are poking fun at Sora vs Google memes. Well, I think it's the biggest boost in LLM capability so far in 2024. v1.5's 10M token context (1) excels at retrieval; (2) generalizes zero-shot to extremely long instructions like full tutorials and codebases; and (3) works across modalities such as text, audio, and video. Here's a stunning example: v1.5 learns to translate from English to Kalamang purely in context, following a full linguistic manual at inference time. Kalamang is a language spoken by fewer than 200 speakers in western New Guinea. Gemini has never seen this language during training and is only provided with 500 pages of linguistic documentation, a dictionary, and ~400 parallel sentences in context. It basically acquires a sophisticated new skill in the neural activations, instead of gradient finetuning. I talked about the Myth of Context Length many times before: don't get too excited by claims of 1M or even 1B context tokens. LSTMs already achieved literally infinite context length 25 yrs ago! What truly matters is how well the model actually uses the context to solve real-world problems, and Gemini-1.5 has surpassed the SOTA with flying colors. The paper is also well-written with lots of solid quantitative analysis on in-context memorization and generalization. Paper: “Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context” Congrats to Jeff Dean Oriol Vinyals Sundar Pichai and team!

Gemini-1.5 Pro has its spotlight stolen today, and people are poking fun at Sora vs Google memes. Well, I think it's the biggest boost in LLM capability so far in 2024. v1.5's 10M token context (1) excels at retrieval; (2) generalizes zero-shot to extremely long instructions like full tutorials and codebases; and (3) works across modalities such as text, audio, and video. Here's a stunning example: v1.5 learns to translate from English to Kalamang purely in context, following a full linguistic manual at inference time. Kalamang is a language spoken by fewer than 200 speakers in western New Guinea. Gemini has never seen this language during training and is only provided with 500 pages of linguistic documentation, a dictionary, and ~400 parallel sentences in context. It basically acquires a sophisticated new skill in the neural activations, instead of gradient finetuning. I talked about the Myth of Context Length many times before: don't get too excited by claims of 1M or even 1B context tokens. LSTMs already achieved literally infinite context length 25 yrs ago! What truly matters is how well the model actually uses the context to solve real-world problems, and Gemini-1.5 has surpassed the SOTA with flying colors. The paper is also well-written with lots of solid quantitative analysis on in-context memorization and generalization. Paper: “Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context” Congrats to Jeff Dean Oriol Vinyals Sundar Pichai and team!

Jim Fan

278,483 次观看 • 2 年前

Introducing Gemini 3 ✨ It’s the best model in the world for multimodal understanding, and our most powerful agentic + vibe coding model yet. Gemini 3 can bring any idea to life, quickly grasping context and intent so you can get what you need with less prompting. Find Gemini 3 Pro rolling out today in the Google Gemini and AI Mode in Search. For developers, build with it now in Google AI Studio and Vertex AI. Excited for you to try it!

Introducing Gemini 3 ✨ It’s the best model in the world for multimodal understanding, and our most powerful agentic + vibe coding model yet. Gemini 3 can bring any idea to life, quickly grasping context and intent so you can get what you need with less prompting. Find Gemini 3 Pro rolling out today in the Google Gemini and AI Mode in Search. For developers, build with it now in Google AI Studio and Vertex AI. Excited for you to try it!

Sundar Pichai

2,950,075 次观看 • 7 个月前

🤯⚡️In addition to being ~$0 per million tokens, the new Gemini 1.5 Flash-8B model in Google AI Studio is ridiculously fast - check out this head-to-head comparison with 1.5 Pro on code generation:

🤯⚡️In addition to being ~$0 per million tokens, the new Gemini 1.5 Flash-8B model in Google AI Studio is ridiculously fast - check out this head-to-head comparison with 1.5 Pro on code generation:

👩‍💻 Paige Bailey

10,660 次观看 • 1 年前

That is the easiest way to chat with a complete Github Repository!👀 Replace "github" with "gitingest" in the url, and you get the whole repo as a single string, paste into AI studio and use Google DeepMind Gemini 2.0 Flash Million Token Context video to ask questions! 🤯 Here is how you can chat with the whole python SDK docs. ⬇️

That is the easiest way to chat with a complete Github Repository!👀 Replace "github" with "gitingest" in the url, and you get the whole repo as a single string, paste into AI studio and use Google DeepMind Gemini 2.0 Flash Million Token Context video to ask questions! 🤯 Here is how you can chat with the whole python SDK docs. ⬇️

Philipp Schmid

97,475 次观看 • 1 年前

Gemini 1.5 Flash-8B is becoming one of the most widely used LLMs in the world! In my conversation with Google Fellow Emanuel Taropa, we talk all things Flash-8B & what it takes to move quickly at Google 🚢 Check out the full episode below and on YouTube:

Gemini 1.5 Flash-8B is becoming one of the most widely used LLMs in the world! In my conversation with Google Fellow Emanuel Taropa, we talk all things Flash-8B & what it takes to move quickly at Google 🚢 Check out the full episode below and on YouTube:

Logan Kilpatrick

93,355 次观看 • 1 年前

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.

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.

Lior Alexander

83,409 次观看 • 2 年前

With a 1M context window for Pro & Ultra users, and an ability to reason across text, images, audio and video, Gemini 3 is ready for anything. Like, analyzing your favorite sports teams or helping you perfect your athletic technique. Here’s how it works ↓

With a 1M context window for Pro & Ultra users, and an ability to reason across text, images, audio and video, Gemini 3 is ready for anything. Like, analyzing your favorite sports teams or helping you perfect your athletic technique. Here’s how it works ↓

Google Gemini

8,839,702 次观看 • 7 个月前

You can now try Gemini 3 Pro in Figma Make! What stands out to me from early testing is how useful Gemini 3 is for exploring visual directions + ideas that designers can then shape and push further with their craft. My thoughts (and some 🤯 demos) in the video below...

You can now try Gemini 3 Pro in Figma Make! What stands out to me from early testing is how useful Gemini 3 is for exploring visual directions + ideas that designers can then shape and push further with their craft. My thoughts (and some 🤯 demos) in the video below...

Dylan Field

116,294 次观看 • 7 个月前

Playing Pokemon with LLMs became a benchmark, but what about Super Mario? Turns out Google DeepMind Gemini 2.0 Flash can play Super Mario in real-time due to its fast latency, multimodal input and long context! 🎮 Gemini 2.0 Flash receives screenshots of the game and then generates Python code (PyAutoGUI commands) for each screenshot to control the game for a short period (the next 1 or 2 seconds). Add a while loop to it and you have it play in real-time. 🤯

Playing Pokemon with LLMs became a benchmark, but what about Super Mario? Turns out Google DeepMind Gemini 2.0 Flash can play Super Mario in real-time due to its fast latency, multimodal input and long context! 🎮 Gemini 2.0 Flash receives screenshots of the game and then generates Python code (PyAutoGUI commands) for each screenshot to control the game for a short period (the next 1 or 2 seconds). Add a while loop to it and you have it play in real-time. 🤯

Philipp Schmid

153,067 次观看 • 1 年前

We’re introducing Canvas and welcoming Audio Overview to the Google Gemini today. Turn docs, slides + Deep Research reports into podcasts with Audio Overview. Or create a doc or coding project with Canvas – it spins up prototypes super fast and you can edit with Gemini in real-time.

We’re introducing Canvas and welcoming Audio Overview to the Google Gemini today. Turn docs, slides + Deep Research reports into podcasts with Audio Overview. Or create a doc or coding project with Canvas – it spins up prototypes super fast and you can edit with Gemini in real-time.

Sundar Pichai

384,050 次观看 • 1 年前

Really enjoyed this chat with Zane Lowe for @applemusic, thank you for having me in to talk about #unrealunearth. You can check out the full conversation at:

Really enjoyed this chat with Zane Lowe for @applemusic, thank you for having me in to talk about #unrealunearth. You can check out the full conversation at:

Hozier

257,756 次观看 • 2 年前

Gemini 2.5 Pro, our best coding model, is now available to all users! You can find it for free in the Gemini app as well as in Google AI Studio. Gemini Advanced users also now have access to it in Canvas mode. Cursor, @windsurf and Cline also added 2.5 Pro support this week!

Gemini 2.5 Pro, our best coding model, is now available to all users! You can find it for free in the Gemini app as well as in Google AI Studio. Gemini Advanced users also now have access to it in Canvas mode. Cursor, @windsurf and Cline also added 2.5 Pro support this week!

Addy Osmani

291,324 次观看 • 1 年前