Gemini 1.5 Flash’s strong capabilities, low latency, and cost efficiency have quickly made it a favorite among our customers—offering many compelling advantages over comparable models like GPT 3.5 Turbo: ⚡ 1 million token context window, which is approximately 60x bigger than the context window provided by GPT-3.5 Turbo ⚡ On average, 40% faster than GPT-3.5 Turbo when given input of 10,000 characters ⚡ Up to 4X lower input price than GPT-3.5 Turbo, with context caching enabled for inputs larger than 32,000 characters. Learn more about Gemini 1.5 Flash—now generally available → https://goo.gle/4bCTqaJ
Google Cloud
Software Development
Mountain View, California 2,411,918 followers
Welcome to the new way to cloud.
About us
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
- Website
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https://cloud.google.com/
External link for Google Cloud
- Industry
- Software Development
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, California
Updates
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It’s official! Last week’s #GoogleCloudFormulaE Hackathon has broken a Guinness World Records™ title for the most participants in a generative AI Hackathon. 1,130 participants harnessed Google Cloud’s advanced AI tools - Vertex AI and Gemini 1.5 Flash - to solve critical challenges faced by Formula E technicians, all on ChromeOS & Chrome Enterprise devices → https://goo.gle/4djfKr6
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Want better results from your AI agents? Relevant, up-to-date responses require current data. Make sure your AI model is up to the task by grounding it in fresh data and real-world information. Here’s your guide to getting started → https://goo.gle/4cTPfZi
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Empowered call center agents = enhanced customer experiences With the help of Google Cloud, Best Buy uses #generativeAI to create stronger connections with customers. Learn more from Ashley Daniels, Best Buy VP of Product Management for Omnichannel and People Technology ↓
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It's hot skill badge summer! Earn the intermediate skill badge by completing this course, where you will learn how to use Vertex AI, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models → https://goo.gle/3WzAipB
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This just in: We're the first to bring you Codestral, Mistral AI’s first open-weight #generativeAI model explicitly designed for code generation tasks—as a fully-managed service in Vertex AI Model Garden! But wait, there's more! We've also added Mistral AI's Large 2 (Mistral AI's flagship model, offering the best performance and versatility of any of the company’s models to date) and Nemo models (12B model delivering exceptional performance at a fraction of the cost) to Vertex AI Model Garden, now generally available via our Model-as-a-Service (MaaS) endpoints. ✨ These models excel at coding, mathematics, and multilingual tasks. Codestral, in particular, is optimized for code completion, documentation, and test generation. ✨ Here’s why you’ll love working with Mistral AI models on #VertexAI: ➕ Get started in minutes with our Model-as-a-Service. No setup or infrastructure complexities. You can further explore the model capabilities using our side by side evaluations. ➕ When moving to practical applications, you can deploy at scale using our pay-as-you-go pricing and without having to manage any infrastructure. You can also maintain consistent performance and capacity with Provisioned Throughput, available in the coming weeks. ➕ And of course, you benefit from Google Cloud's robust security, privacy, and compliance measures, building in a world-class infrastructure purpose-built for AI workloads. Ready to explore these models on Vertex AI? Get started here → https://goo.gle/3LBTM6F
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Today, we’re excited to announce the addition of Llama 3.1—AI at Meta's most powerful and versatile models to date—to Vertex AI Model Garden! Here are just a few benefits of Llama 3.1 on Vertex AI: ✅ Experiment with confidence: Explore Llama 3.1's capabilities through simple API calls directly within our intuitive environment, without worrying about complex deployment processes. ✅ Tailor Llama 3.1 to your exact needs: Fine-tune the model using your own data to build bespoke solutions tailored to your unique needs. ✅ Ground your AI in truth: Make sure your AI outputs are reliable, relevant, and trustworthy with Vertex AI’s multiple options for grounding and RAG. ✅ Craft intelligent agents: Create and orchestrate agents powered by Llama 3.1, using Vertex AI's comprehensive set of tools, including LangChain on Vertex AI. ✅ Deploy without overheads: Eliminate the complexities of deploying and scaling even the 405B model, thanks to flexible auto-scaling and pay-as-you-go pricing. ✅ Make Llama 3.1 work within your guardrails: Deploy with confidence with not only support for Meta’s Llama Guard, but also Google Cloud's built-in security, privacy, and compliance measures. You can access this new #OpenSource model using Model-as-a-service in preview, starting today, and it will be generally available in the coming weeks → https://goo.gle/46jILjR
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What turns a fastball into a 24.7% chance of a whiff? And what does it have to do with hot dog sales? AI knows.⚾🌭👇 Smarter stats, blazing insights with Major League Baseball (MLB)'s Statcast—powered by Google Cloud AI. Learn more → https://goo.gle/46nJiRZ
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We challenged Sir Martin Sorrell, CEO, to take on The Pack: 3 tricky rounds 🥊 21 provocative questions 💡1 pack of biscuits 🍪 Discover how AI is more than a tool for advertising and media - it’s reinventing the entire sector. Watch now: https://goo.gle/46myV0U #GoogleCloudThePack #AI