?? The GenAI Intensive course with Google is here! Join us March 31 - April 4 for a no-cost, in-depth exploration of Generative AI. Following last year's success with 140,000 participants, we're offering: ?? Expert-led theory from Google ML researchers ?? Daily assignments: white papers, podcasts, & code labs ?? Community engagement via Discord & live AMAs ?? Capstone project to apply your skills Dive into the latest GenAI technologies and techniques! Register now: https://lnkd.in/eBettFgB
关于我们
Kaggle provides cutting-edge data science, faster and better than most people ever thought possible. We have a proven track-record of solving real-world problems across a diverse array of industries including pharmaceuticals, financial services, energy, information technology, and retail. Kaggle offers both public and private data science competitions and on-demand consulting by an elite global talent pool.
- 网站
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https://www.kaggle.com
Kaggle的外部链接
- 所属行业
- IT 服务与咨询
- 规模
- 11-50 人
- 总部
- San Francisco，California
- 类型
- 私人持股
- 创立
- 2010
- 领域
- open data、predictive modeling、machine learning和data science
地点
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主要
获取路线
188 King Street #502
US，California，San Francisco，94107
Kaggle员工
动态
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Google’s Gemma 3 and Shield Gemma 2 are now on #KaggleModels ?? Gemma 3: https://lnkd.in/eXrpd-3v ?? ShieldGemma 2: https://lnkd.in/eavVCMy3
Gemma 3 is a collection of lightweight, state-of-the-art open models built from the same research and technology that powers our Gemini 2.0 models. → https://goo.gle/3Dxcg84 Our high-performing foundation models leverage the power of NVIDIA’s GPUs, are available in a range of sizes (1B, 4B, 12B, 27B), and offer capabilities such as support for 140+ languages, multimodal understanding, faster on-device runtime, and a 128K-token context window. We’re also launching ShieldGemma 2, a powerful 4B image safety checker built on Gemma 3. Developers can customize ShieldGemma 2 to suit their safety needs. Ready to start building? Experiment in Google AI Studio and get access to Gemma 3 on Kaggle, Hugging Face, and Ollama.
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Kaggle转发了
Hi everyone, I'm excited to announce I'll be in Europe for most of March! ?? First stop: Paris! I'll be attending Build with Gemini on March 11th and Gemma Developer Day on March 12th. If you're there, let's connect in person! ?? Then, I'm heading to Hanover for WSDM (The ACM International Conference on Web Search and Data Mining) on March 14th. I'm especially looking forward to attending the presentation by Walter Reade! ?? After that, I'll be exploring Amsterdam, Berlin, Prague, and Budapest throughout the rest of the month. ?? If you're in any of these cities and would like to grab a coffee or connect, please send me a message! I'd love to meet up. ?? Looking forward to connecting with my network across Europe! #Kaggle #BuildWithGemini #GemmaDevDay #network #Europe
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We have so much fun partnering with Cohere For AI, and are honored to be a home for these amazing models!!
Who will triumph - Aya Vision or its creators? ?? We challenged the research team behind Aya Vision to mystery object trivia. This episode features Arash Ahmadian, Alejandro Rodríguez Salamanca and Sara Hooker. ??????
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?? Competition Launch Alert! Locating Bacterial Flagellar Motors 2025 hosted by Brigham Young University ?? Identify the presence & location of flagellar motors in 3D reconstructions of bacteria. ?? $65,000 Prize Pool ? Entry Deadline: May 28, 2025 ?? Chan Zuckerberg Initiative You’ll develop an algorithm to automate the identification of flagellar motors in cryo-ET tomograms, helping researchers study molecular biology, drug development, and synthetic biology at scale. Your work could improve cryogenic electron tomography (cryo-ET) analysis, helping researchers develop new medicines & advance synthetic biology. ?? Learn more at https://lnkd.in/e_kg-ugD
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?? Now on #KaggleModels! Qwen's QwQ-32B is the latest reasoning model in the Qwen series, built for complex problem-solving & outperforming benchmarks. ?? Check it out on Kaggle: https://lnkd.in/e6t7QeY3?
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?? Cohere For AI's Aya Vision is now available on #KaggleModels ?? Learn more: https://lnkd.in/egCqw-jX
Introducing ? Aya Vision ? - an open-weights model to connect our world through language and vision. Aya Vision ?? sets a new frontier for multilingual understanding – consistently outperforms other leading open-weights multimodal models in image understanding tasks while preserving text multilingual performance ??. Aya ?? outperforms much larger models. ??? Aya 8b outperforms Llama 90B, a model **11x** the size. Aya 32b outperforms Qwen 72b, Llama 90B, and Molmo 72B, models which are **2x** the size. As part of our commitment to access, we release both Aya 8B and 32B open-weights. Access Aya Vision open-weights on Hugging Face and Kaggle. We are also making it available for free on WhatsApp: https://lnkd.in/gUppEEtf Find more information in our blog: https://lnkd.in/gpgCZzqU
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Kaggle转发了
Introducing ? Aya Vision ? - an open-weights model to connect our world through language and vision. Aya Vision ?? sets a new frontier for multilingual understanding – consistently outperforms other leading open-weights multimodal models in image understanding tasks while preserving text multilingual performance ??. Aya ?? outperforms much larger models. ??? Aya 8b outperforms Llama 90B, a model **11x** the size. Aya 32b outperforms Qwen 72b, Llama 90B, and Molmo 72B, models which are **2x** the size. As part of our commitment to access, we release both Aya 8B and 32B open-weights. Access Aya Vision open-weights on Hugging Face and Kaggle. We are also making it available for free on WhatsApp: https://lnkd.in/gUppEEtf Find more information in our blog: https://lnkd.in/gpgCZzqU
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?? New Feature: Data Loaders for Datasets! kagglehub is now compatible with Hugging Face Datasets, Pandas, and Croissant! Preconfigured Python code snippets to load via: - pandas.DataFrame - Hugging Face Dataset - mlcroissant.RecordSet Simply copy, paste, set your file path, and run! ?? ?? Learn more: https://lnkd.in/gKFFBcRc
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?? Competition Launch Alert! Stanford RNA 3D Folding, hosted by Stanford University. ?? Predict RNA’s 3D structure ?? $75,000 Prize Pool ? Entry Deadline: May 22, 2025 ?? Howard Hughes Medical Institute (HHMI), Stanford University School of Medicine In this competition, you’ll develop machine learning models to predict an RNA molecule’s 3D structure from its sequence. Your work could help push RNA-based medicine forward, improving treatments for cancer & genetic diseases. Learn more at https://lnkd.in/g445Be_v