Google has unveiled Gemini 1.5, a next-generation AI model, marking a significant upgrade in its AI capabilities. This model introduces a groundbreaking context window capable of processing up to 10 million tokens, with a production version currently supporting 1 million tokens and achieving a 99% recall. Gemini 1.5 Pro, described as a mid-sized, multimodal model leveraging a Mixture-of-Experts (MoE) approach, is set to become standard with a 128K-token context window. However, developers and customers can now sign up for a limited Private Preview to experience the 1.5 Pro version with its extended capabilities. The model's vast context window enables it to handle extensive amounts of data, including the ability to understand entire books, full movies, and complete podcast series in one go. This development positions Google's Gemini 1.5 Pro as a formidable competitor in the AI landscape, surpassing the capabilities of many existing models. Additionally, Google announced a 50% price reduction for Gemini 1.0 and introduced Gemini 1.5 Pro as an experimental feature via AI Studio and Vertex AI for initial testers.
Gemini 1.5 Pro with 10 million tokens context length??????????? and it's multi-modal? what???? It can understand a doodle and tell you what your illustrated situation is in a given text check out my video covering it https://t.co/SmrZQywyHl https://t.co/HawMUfsjKG
Huge update from Google Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length https://t.co/DnO20ocX0n
Google debuts Gemini 1.5 Pro model in challenge to rivals https://t.co/t6sT7GGaSh
Google unveils Gemini 1.5, setting a new standard in AI with unprecedented long-context understanding and efficiency. - Gemini 1.5 utilizes a Mixture-of-Experts architecture for improved efficiency and performance, enabling it to process and learn complex tasks faster. - The… https://t.co/87VT7shYJC
Google upstages itself with Gemini 1.5 AI launch, one week after Ultra 1.0 https://t.co/QxpevSjiI0
🗓️ Today in AI (Feb 15th, 2024) - 5 Minute TLDR - Google has announced Gemini 1.5, an AI model with significant improvements over its predecessor, Gemini 1.0. The new model features a longer context window, better understanding, and enhanced performance; - Nvidia has disclosed… https://t.co/fjOWGlWvFh
Gemini 1.5, MoE with 1M tokens of context-length https://t.co/3g23RbXKHj
Google already testing Gemini 1.5 with a massive 1 million token context window https://t.co/NoeTQ0aeZ0 https://t.co/t0JkhDn3Pw
If #Gemini 1.5 Pro is indeed comparable to 1.0 Pro (and not Ultra) in size/inference costs, the progress vs 1.0 is remarkable and 1 Mio. ctx are impressive (if usable in practice)! 👏 Google catching up? https://t.co/3K2fwpxo76 https://t.co/WGxOSuu3L3
Google announced the arrival of its "next generation" Gemini 1.5 model, which is in "early testing" for select users https://t.co/u5qRcc6u35
Google's Gemini 1.5 Pro is a new, more efficient AI model https://t.co/3rnpPGpgFX https://t.co/zVtBNqjANy
Congratulations to @Google for the release of Gemini 1.5 Pro! 🚀 We’re excited that developers can now use Weaviate’s open source vector database to build and experiment with Gemini 💚 https://t.co/TEpOgeRhan @gcloudpartners
AI News Google launches its next-gen AI model, Gemini 1.5 What can it do? #AI #Gemini #GeminiAI #Google #OpenAI #GenAI #Business #technology #TechNews #thursdayvibes https://t.co/ht3qmbw5Kn
Google: Next-Gen Gemini 1.5 AI Model Can Handle 'Vast Amounts' of Data https://t.co/Repzt9JIBd
Gemini 1.5 is HERE Read the summary by @maimo_ai These exciting advancements in AI enhance our ability to understand and interact with all your complex inputs. https://t.co/l1EGO9cqZN https://t.co/3rgewu1HaA
Gemini Pro 1.5 came to play! Great recall for up to 1 million tokens. This is going to obviate a lot of the RAG tricks folks are doing for context stuffing. Build for where the models are going not where they are. Should be in @bearlyai in a few hours. https://t.co/eCrXqWQice
Gemini 1.5 tech report is out! - 1M context length, near perfect performance on needle in a haystack retrieval - MoE architecture - 1.5 Pro quality is comparable to 1.0 Ultra, while being much cheaper to run https://t.co/EkIGvdYIbE
DeepMind just announced Gemini 1.5 Pro. You can't try it yet (:sadface:) but here is a brief technical summary as the results hint at an incredible future (:happyface:) First of all it's a MoE model (similar to Mixtral), and it's likely a distill of their Ultra 1.0 model (as it… https://t.co/wTgh6IKGEy
Google introduces Gemini 1.5 🔍 1.5 Pro matches Ultra's benchmarks. 📚 Huge context window: 1M tokens! 🧠MoE tech for efficiency & speed. 🤖 Ethical & safety tests ongoing. 💼 Business first, consumer next. 🎬 Could analyze entire movies. https://t.co/Mjv55ozBcW
So excited to see Gemini 1.5 released to the world! It was a blast working with such an amazing team. https://t.co/qLXfQEhH4D
This is big - Google just announced Gemini Pro 1.5 An AI model with a context window of up to 1 million multimodal tokens. Here's a quick and impressive demo: https://t.co/6EDLFc9WDN
🚨 Breaking 🚨 Google's new Gemini 1.5 Pro model is mind-blowing. It can understand a 44-minute movie and analyze a PDF document over 400 pages long. Here's why it's a game changer for developers and beyond: https://t.co/nSdV5Ajopf
Google is already pushing Gemini 1.5, giving its AI a turbo boost https://t.co/d838EP8IkQ
Breaking: A Week after Gemini Ultra launch, Google now dropped Gemini 1.5 Gemini 1.5 features the largest context length ever in foundational AI model - 1 M tokens scalable to 10 M (in research). It can process: - 1 hr video - 11 hrs of audio - 30k lines of code - 700k words https://t.co/ahz11zuWVB
The Gemini 1.5 Pro's context window has been upgraded from 128K tokens to 1 million tokens! https://t.co/1cfAVoTzlq
Gemini 1.5 Pro has a 10M Token context length w/ >99.7% recall). You can input up to 3 hours of video, 22 hours of audio, or 7M words. Wild. https://t.co/Pm2pydKVVm
Google just dropped a 1 million token context multimodal model, Gemini 1.5 https://t.co/YITwQK7brs
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 the… https://t.co/q5HlOhPVk2
Ok that's really impressive Google's new Gemini 1.5 Pro model is capable of understanding a 44-minute movie. It can find specific moments with a written prompt or even an image. https://t.co/CiL89SL3fU
🚨BREAKING: Google Gemini 1.5 just destroyed ChatGPT and Claude with biggest ever 1 Million tokens. It can now understand 4+ Harry Potter books, several GitHub code repository, entire podcast, and 1-hour video🤯 Here's 3 examples of what that means: 🧵👇 https://t.co/ggH5uWMwbS
Google is catching up fast! Gemini 1.5: 🔷 1 Million token context! 🔷 Multimodal (text, image, video and audio)! 🔷 With a smaller, faster model compared to Gemini Ultra (Gemini Pro 1.5 performs at the same level as Gemini Ultra!) Exciting stuff! https://t.co/TwgbkdxCYG
Google's Gemini 1.5 Pro is ready for developers, with access Coming Soon™ for regular users https://t.co/yA98K7Vfg8
10M token context window 🤯 This is Gemini 1.5 Pro Yeah you read that right, initial testers will have access to the 1M token context window model for free. Google is really accelerating their AI efforts. https://t.co/xDRfr9dNve
So Google just released Gemini 1.5. Last time Google teased Bard, OpenAI launched GPT-4 which was a step ahead of the model powering Bard. @OpenAI dropping something soon hopefully.
We are announcing the Gemini 1.5 series of models today! * Support for 1M context lengths (tested up to 10M) * Gemini 1.5 Pro nears Gemini 1.0 Ultra performance with greater efficiency * Cloud users can sign up to waitlist for preview https://t.co/z1mkUZ2Ajx
Alphabet’s Gemini AI model has been public for only two months, but the company is already releasing an upgrade. Gemini Pro 1.5 is more powerful than its predecessor and can handle huge amounts of text, video, or audio input at a time. https://t.co/pgXGpQqDpm
Google announces Gemini 1.5 with greatly expanded context window https://t.co/5RqaefmnKc by @technacity
🚨 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.… https://t.co/lIjeHE8W9u
🚨 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 entire podcast series all in one go. This surpasses all other competitor Chatbot context windows by a… https://t.co/ilAEH4r9vW
Gemini Pro 1.5 is here! 10M token context window (1M in production for now), comparable evals to Ultra 1.0, and considerably more compute efficient. This model can perceive and answer questions about 10 hours of video, or 100 hours of audio, or 300K lines of code, and will… https://t.co/xHm2XA2JdW https://t.co/JtdSD8oWLu
🚨 Google just dropped Gemini Pro 1.5, the next version of its AI model with a 10M token context length. The model can now understand entire books, full movies, and entire podcast series all in one go. This surpasses all other competitor Chatbot context windows by a longshot.… https://t.co/hvpQq0oK3o
Google introduces Gemini 1.5 Significantly increases the context window to up to 1 million tokens, enabling processing of vast amounts of information in one go, such as 1 hour of video, 11 hours of audio, or over 700,000 words. https://t.co/KhlKeuBvIl
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… https://t.co/jHbYGpp6nJ
Introducing Gemini Pro 1.5: 10M token context window (1M in production for now), comparable evals to Ultra 1.0, and considerably more compute efficient. This model can perceive and then answer questions about 10 hours of video, or 100 hours of audio, or 300K lines of code, and… https://t.co/vuq5P4ioCE https://t.co/JtdSD8oWLu
NEWS: Gemini 1.5 is out. I can't believe it. 1 MILLION TOKENS. Everything you need to know: https://t.co/chiVhYAKdR
Gemini 1.5 PRO announced! 🤯 @GoogleAI is accelerating and just announced Gemini 1.5 as an MoE (Mixture of Experts) with up to 1M token context length for video, audio and text. TL;DR; 🧠 Sparse mixture-of-expert (MoE) Transformer-based architecture 🔝 1.5 is built on top of…
Introducing Gemini Pro 1.5: 10M token context window (1M in production for now), comparable evals to Ultra 1.0, and considerably more compute efficient. This network can perceive and then answer questions about 10 hours of video, or 100 hours of audio, or 300K lines of code,… https://t.co/JtdSD8oWLu
Google makes more Gemini models available to developers #DisruptiveTech https://t.co/mqx5Rh31Em
Gemini 1.5 is capable of a 10 million token context window! Amazing! We are escalating. They will introduce 1.5 Pro with a 128k context window. Then plan to introduce pricing tiers that start at the standard 128k context window and scale up to 1 million tokens. https://t.co/vPWIDBUdcL https://t.co/JUN23LbtJj
Gemini 1.5 is here! Specially proud of the model processing almost a full day of audio (22h) 🤯🤯🤯 https://t.co/aKZffpbGgs
Sweet! Gemini 1.5 Pro extends to a 10M token context length. Achieves the longest context window of any large-scale foundation model. Uses Mixture-of-Experts to improve efficiency. Also excited to see this model available in Google AI Studio and supporting useful use cases… https://t.co/V18hPAFOor
Gemini 1.5 Pro multimodal model has a 10 million tokens context length. This is astonishing and now shifts major corporations use cases from OpenAI/Microsoft to Google. I have some clients that need 10 million tokens of data. Testing soon. https://t.co/0wscY4zFP5
HOLY FUCKING SHIT. Google drops a new Gemini Pro 1.5 with a 1 million token context length. Basically beating any other model out there in the world. And they slashed the prices of Gemini 1.0 by 50%. Google is so back in the AI race! https://t.co/1ZR86Lfkrd
HOLY FUCKING SHIT. Google drops a new Gemini Pro 1.5 with a 10 million token context length. Basically beating any other model out there in the world. And they slashed the prices of Gemini 1.0 by 50%. Google is so back in the AI race! https://t.co/1ZR86Lfkrd
Gemini 1.5 Pro tech report is out! 🔥 Quick notes - Sparse MoE multimodal model - Can handle 3 hours of video, 22 hours of audio or 10M tokens with almost perfect recall! - Better than Gemini 1 Pro, better than Ultra for text, worse for audio and vision - Sadly not much info… https://t.co/mpuL7Ck7zl
Gemini 1.5 is Google’s next-gen AI model — and it’s already almost ready #DisruptiveTech https://t.co/EYfiCOPYM7
Google announces a new AI model, Gemini 1.5: https://t.co/bB6r8sFprq It can process one hour of video or 11 hours of audio at a time, according to the company
Gemini 1.5 is here! ..with enhanced capabilities and the longest context window of any large-scale model yet. https://t.co/XrMxPzVuZK
To show what’s possible with the drastically huge context window in Gemini 1.5 Pro, we prompted it with the three.js examples code - over 100,000 lines of code/800k+ tokens! (That’s not even the max, it can handle millions of tokens 😀) Gemini was able to process all the code… https://t.co/N2VYgn2JFJ
Google makes Gemini 1.0 Pro and Gemini 1.0 Ultra generally available, adds support for adapter-based tuning in Vertex, and rolls out new developer tools (@fredericl / TechCrunch) https://t.co/leKoouuJat 📫 Subscribe: https://t.co/OyWeKSRpIM https://t.co/6Lzta5cR9b
Google launches Gemini 1.5 to developers and enterprise users, offering support for 1M tokens, and says Gemini 1.5 Pro is on par with its Gemini Ultra model (@pierce / The Verge) https://t.co/LeoikjOOnf 📫 Subscribe: https://t.co/OyWeKSRpIM https://t.co/4g8mITK9Kh
Gemini 1.5 has arrived. Pro 1.5 with 1M tokens available as an experimental feature via AI Studio and Vertex AI in private preview. Then there’s this: In our research, we tested Gemini 1.5 on up to 2M tokens for audio, 2.8M tokens for video, and 🤯10M 🤯 tokens for text. From… https://t.co/YF1AGQxvQ9 https://t.co/8wCU7OwaCB
Google announces Gemini 1.5 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… https://t.co/E8zbALAWjx
In December we began the Gemini Era, and we’ve continued to make relentless progress since. Today we’re thrilled to introduce the next generation: Gemini 1.5 - hugely enhanced performance, highly efficient architecture & long-context length breakthrough https://t.co/dKlzOQLyK4 https://t.co/y942bkDd31
Google announces Gemini 1.5 for developers to experiment on https://t.co/GccCg70NcW
Google announces Gemini 1.5 blog: https://t.co/OytIPSjEHK 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… https://t.co/4oP5OJDQGV
Google makes more Gemini models available to developers: https://t.co/gcGuEDQ2c9 by TechCrunch #infosec #cybersecurity #technology #news
1M Context Window? Google launches Gemini 1.5 Pro with 1M for a set of users. 128K with 99% recall for everyone! This is CRAZY!!! https://t.co/A2BUEPw2Qj
✨ Introducing Gemini 1.5: Our next-generation model with a context window of 1M tokens. ➡️ https://t.co/WuS2G2WqZX Explore the latest Gemini models, including Gemini 1.5 Pro, in Google AI Studio. #BuildWithGemini https://t.co/B85fBFmPF1
Introducing Gemini 1.5: our next-generation model with dramatically enhanced performance. It also achieves a breakthrough in long-context understanding. The first release is 1.5 Pro, capable of processing up to 1 million tokens of information. 🧵 https://t.co/qT0aXdFL0n https://t.co/xA0ib11f00
Today we're introducing Gemini 1.5, our next-generation AI model. It shows dramatically enhanced performance, including long-context understanding across modalities, which opens up new possibilities for people to create and build with AI → https://t.co/TjDy8GHIQS #GeminiAI https://t.co/043FGirXB0
Google's updated AI model, Gemini 1.5 Pro, is capable of processing longer texts and video https://t.co/BwL5ditedf
Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiators of this model is its incredibly long… https://t.co/2KLro4VwLT
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… https://t.co/m2BNufHd8C
Google Introduces Gemini 1.5 https://t.co/6sRpnwV0bz
Google makes more Gemini models available to developers https://t.co/EiS0lZQAav
Google’s Flagship Gemini AI Model Gets a Major Upgrade https://t.co/3AyGeBiy2h
Gemini 1.5 is Google’s next-gen AI model — and it’s already almost ready https://t.co/XBnSoX91dV
Google unveils Gemini 1.5, a next-gen AI model with million-token context window https://t.co/NSIv07tKnr https://t.co/s6zPeJSvFk
In case you missed it, lots of exciting news from @Google DeepMind: Bard is now called Gemini, we’re rolling out a Gemini mobile app, and we released Gemini Advanced, which people can use to access our most capable model (Gemini Ultra 1.0)! https://t.co/WDYpxWCYJi
Google's AI game-changer: Gemini. Bard rebrands, Duet AI integrates, and Google Workspace evolves. Meet Gemini Ultra 1.0 - the future of AI assistance. #GoogleGemini #AI Link:https://t.co/4nWfG4odb7 https://t.co/B8gV7gLwwU
Google's #Bard is now @Google #Gemini 🌐✨ Unleash the power of advanced language models with Gemini's multimodal capabilities, outperforming in understanding, coding, and more. Stay tuned for the future of AI! https://t.co/c7Jnl1H472 #GoogleGemini #GenAI #GoogleBard 🤖
I tested out Google's new Gemini AI app, and it's a serious upgrade over the regular Assistant. #GeminiAI #GoogleAssistant https://t.co/JaSz8Jg652