Arely Silva, a PhD recruiter at Google, asked Googlers attending NeurIPS to share their advice for anyone interested in a career in AI/ML! Explore our open AI/ML roles and opportunities ➡️ https://goo.gle/3CYV8HH
Om oss
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
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https://goo.gle/3DLEokh
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- search, ads, mobile, android, online video, apps, machine learning, virtual reality, cloud, hardware, artificial intelligence, youtube och software
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Uppdateringar
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Ravin, a Los Angeles-based data scientist with Google Labs, spoke at NeurIPS about his team’s work to build NotebookLM: a personalized AI research assistant. Ravin’s talk covered the process of building the product, and the technical challenges along the way. We’re sharing his summary and key takeaways for anyone who missed it! Learn more about how we’re pushing the frontiers of audio generation ➡️ https://goo.gle/3ZwCuhP
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This year, we’re celebrating the Breakout Searches of 2024. From iconic performances to history-making breakthroughs, see the moments that captured the world’s attention and had us all searching to know more → yearinsearch.google #YearInSearch
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Meet Chris Welty: a research scientist on Google Research, whose most recent project involved working on Gemini. While at NeurIPS, we asked Chris to tell us about his work and career advice. Learn more about how Google is showing up at NeurIPS 2024 ➡️ https://goo.gle/3VzMoOE
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Today we announced Gemini 2.0, our most capable AI model yet that’s built for the era of agents. Get all the details here ➡️ https://goo.gle/3OSfc17
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Google omdelade detta
Meet Willow, our state-of-the-art quantum chip. The new Willow chip has achieved groundbreaking milestones in error correction and performance. It's the first to show exponential error reduction as qubits scale, paving the way for large-scale quantum computers. Plus, it tackles the random circuit sampling benchmark in less than 5 minutes that would take one of today’s fastest supercomputers 10,000,000,000,000,000,000,000,000 years. Dive deeper into these incredible achievements and learn how Willow is bringing us closer to commercially relevant applications → https://lnkd.in/gmveekNb
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Meet Yolyn, Vice President of Knowledge and Information Partnerships at Google’s Singapore office – and a product partnerships veteran with over a decade of experience. “I manage the product partnerships teams in APAC that cover all of our major consumer products like Search, Maps, Payments, and Shopping, and also the teams that cover partnerships for Research and AI data and Ads Partnerships,” she says. One thing Yolyn wants people to know? “The tech industry is not just for software engineers! The process of bringing a product to life requires a village of people from business development practitioners to UX designers to lawyers to members of our finance team and of course our product and engineering teams.” Interested in learning more about #LifeAtGoogle Singapore? Visit our careers site → https://goo.gle/40qeu2c
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It's a Geminiversary ✨ Thank you to all the Googlers who have contributed to Gemini's momentum so far, with more to come! Take our quiz to test your knowledge and learn more about Gemini ➡️ https://goo.gle/4eZLceg
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Google omdelade detta
Over 140,000 developers upskilled in generative AI through the Google & Kaggle GenAI Intensive. → https://goo.gle/3B38IJD Now, the most popular content is available in a self-paced Kaggle Learn Guide: 🔵 Day 1: Foundational Models & Prompt Engineering 🔵 Day 2: Embeddings and Vector Stores/Databases 🔵 Day 3: Generative AI Agents 🔵 Day 4: Domain-Specific LLMs 🔵 Day 5: MLOps for Generative AI Visit the blog to get started and stay updated on future live courses.
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Time to pay it forward: What's the best piece of advice a mentor has given you? #InternationalVolunteerDay
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