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is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Gemini+Team"> Gemini Team</a>, <a href="/search/cs?searchtype=author&amp;query=Georgiev%2C+P">Petko Georgiev</a>, <a href="/search/cs?searchtype=author&amp;query=Lei%2C+V+I">Ving Ian Lei</a>, <a href="/search/cs?searchtype=author&amp;query=Burnell%2C+R">Ryan Burnell</a>, <a href="/search/cs?searchtype=author&amp;query=Bai%2C+L">Libin Bai</a>, <a href="/search/cs?searchtype=author&amp;query=Gulati%2C+A">Anmol Gulati</a>, <a href="/search/cs?searchtype=author&amp;query=Tanzer%2C+G">Garrett Tanzer</a>, <a href="/search/cs?searchtype=author&amp;query=Vincent%2C+D">Damien Vincent</a>, <a href="/search/cs?searchtype=author&amp;query=Pan%2C+Z">Zhufeng Pan</a>, <a href="/search/cs?searchtype=author&amp;query=Wang%2C+S">Shibo Wang</a>, <a href="/search/cs?searchtype=author&amp;query=Mariooryad%2C+S">Soroosh Mariooryad</a>, <a href="/search/cs?searchtype=author&amp;query=Ding%2C+Y">Yifan Ding</a>, <a href="/search/cs?searchtype=author&amp;query=Geng%2C+X">Xinyang Geng</a>, <a href="/search/cs?searchtype=author&amp;query=Alcober%2C+F">Fred Alcober</a>, <a href="/search/cs?searchtype=author&amp;query=Frostig%2C+R">Roy Frostig</a>, <a href="/search/cs?searchtype=author&amp;query=Omernick%2C+M">Mark Omernick</a>, <a href="/search/cs?searchtype=author&amp;query=Walker%2C+L">Lexi Walker</a>, <a href="/search/cs?searchtype=author&amp;query=Paduraru%2C+C">Cosmin Paduraru</a>, <a href="/search/cs?searchtype=author&amp;query=Sorokin%2C+C">Christina Sorokin</a>, <a href="/search/cs?searchtype=author&amp;query=Tacchetti%2C+A">Andrea Tacchetti</a>, <a href="/search/cs?searchtype=author&amp;query=Gaffney%2C+C">Colin Gaffney</a>, <a href="/search/cs?searchtype=author&amp;query=Daruki%2C+S">Samira Daruki</a>, <a href="/search/cs?searchtype=author&amp;query=Sercinoglu%2C+O">Olcan Sercinoglu</a>, <a href="/search/cs?searchtype=author&amp;query=Gleicher%2C+Z">Zach Gleicher</a>, <a href="/search/cs?searchtype=author&amp;query=Love%2C+J">Juliette Love</a> , et al. (1110 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2403.05530v4-abstract-short" style="display: inline;"> In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions of tokens of context, including multiple long documents and hours of video and audio. The family includes two new models: (1) an updated Gemini 1.5 Pro, which exceeds the February&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2403.05530v4-abstract-full').style.display = 'inline'; document.getElementById('2403.05530v4-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2403.05530v4-abstract-full" style="display: none;"> In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions of tokens of context, including multiple long documents and hours of video and audio. The family includes two new models: (1) an updated Gemini 1.5 Pro, which exceeds the February version on the great majority of capabilities and benchmarks; (2) Gemini 1.5 Flash, a more lightweight variant designed for efficiency with minimal regression in quality. Gemini 1.5 models achieve near-perfect recall on long-context retrieval tasks across modalities, improve the state-of-the-art in long-document QA, long-video QA and long-context ASR, and match or surpass Gemini 1.0 Ultra&#39;s state-of-the-art performance across a broad set of benchmarks. Studying the limits of Gemini 1.5&#39;s long-context ability, we find continued improvement in next-token prediction and near-perfect retrieval (&gt;99%) up to at least 10M tokens, a generational leap over existing models such as Claude 3.0 (200k) and GPT-4 Turbo (128k). Finally, we highlight real-world use cases, such as Gemini 1.5 collaborating with professionals on completing their tasks achieving 26 to 75% time savings across 10 different job categories, as well as surprising new capabilities of large language models at the frontier; when given a grammar manual for Kalamang, a language with fewer than 200 speakers worldwide, the model learns to translate English to Kalamang at a similar level to a person who learned from the same content. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2403.05530v4-abstract-full').style.display = 'none'; document.getElementById('2403.05530v4-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 8 August, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 8 March, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2024. </p> </li> </ol> <div class="is-hidden-tablet"> <!-- feedback for mobile only --> <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>&nbsp;&nbsp;</span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary"> <!-- MetaColumn 1 --> <div class="column"> <div class="columns"> <div class="column"> <ul class="nav-spaced"> <li><a href="https://info.arxiv.org/about">About</a></li> <li><a href="https://info.arxiv.org/help">Help</a></li> </ul> </div> <div class="column"> <ul class="nav-spaced"> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>contact arXiv</title><desc>Click here to contact arXiv</desc><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 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