ExcelGens, Inc.’s Post

Learn how to orchestrate generative AI applications with Cloud Workflows in this article by Sascha Heyer. This post explores building a workflow that generates recipes and images, storing them on Google Cloud Storage, and showcasing them in a rudimentary web app. #cloudworkflows #generativeai #googlecloud #serverless #vertexai #gemini #this_post_was_generated_with_ai_assistance #responsibleai https://lnkd.in/ezpr4B9Y

Google Cloud’s “Gen AI for Go” hands-on workshop tomorrow will cover developing and deploying a generative AI application in Go, hosted on Google Cloud. They'll use #GitHub, Cloud Build, and Cloud Run to automate deployment, creating a working web app with generative AI functionality added through Vertex AI, and deploying the #application multiple times. By the end, you'll have a small application and deployment #pipeline that you can either use directly or tailor to your needs. https://lnkd.in/e-f_nuJS #GenAI #CloudRun #CloudBuild #App

2bcloud is proud to be a part of SaaS Innovation Hub! SaaS Innovation Hub is an online platform that offers full guidance and practical assistance in your cloud journey through #Microsoft partners. Explore the roadmap below for modernizing your app, attracting new international customers, and utilizing data with AI. https://hubs.ly/Q02y5vSN0 #2bcloud #AI #azure #saasinnovationhub

LangChain is the most popular open-source framework for building LLM-based apps. Join Debi Cabrera as she learns from Steren Giannini and Wietse Venema on why Google Cloud is the easiest place to deploy LangChain LLM apps to production. Listen along as the team discusses how they combined LangChain on Cloud Run with Cloud SQL's pgvector for vector storage and Vertex Endpoints to create generative AI applications. Learn how to build Generative AI apps on Google Cloud's app engine. https://lnkd.in/dzzq8QxK

Did you know that 70% of mission-critical systems still run on ancient code? Meanwhile, the experts who understand these legacy systems are rapidly retiring. App.Mod.ai is here to revolutionize your enterprise! Imagine quickly and efficiently upgrading your programs to work with the latest technologies, boosting productivity, and integrating seamlessly with CI/CD pipelines. Our AI-powered solution respects your coding standards and ensures secure deployment in your cloud. Ready to future-proof your systems? Visit https://lnkd.in/g-E-uB5W to watch the full video on how our team can help you govern, guide, and control your AI-driven modernization journey. #LegacyModernization #AIRevolution #FutureTech #AI #ROI

To create an engaging tweet for the AI Related article "Show HN: See the impact on your cloud costs as you code," let's break it down step by step: 1. **Emotional Appeal**: Emphasize the feelings of control and empowerment users get from understanding and optimizing their cloud costs. 2. **Relatability**: Highlight common frustrations developers might face with unexpected cloud costs. 3. **Call to Action**: Encourage users to take action by exploring the tool. 4. **Conciseness and Impact**: Keep the message short but powerful. 5. **Emoji Use**: Use relevant emojis to capture attention and convey the message quickly. Considering these elements, here's the tweet: 🚀 Tired of sky-high cloud costs? Discover real-time insights as you code and take control of your expenses! 💡 Optimize smarter, save more. Ready to see the impact on your wallet? [link]

That is a wrap. It was great to speak at Google #cloudnext2024 on how to build business applications with AppSheet and Google Cloud #AI. See you next time. #gcp #cloud

Are you working with #GenAI in #GoogleCloud? Don't miss this session at #techbash 2024! Check out the full schedule and register today: https://lnkd.in/d6ddEzET #cloud #ai #aimodels #machinelearning #google #techevent #poconos #nepa #developers #devconference

Building Retrieval Augmented Generation on VSCode & AI Toolkit. Retrieval Augmented Generation (RAG) on VS Code AI Toolkit:   AI toolkit allows users to quickly deploy models locally or in the cloud, test and integrate them via a user-friendly playground or REST API, fine-tune models for specific requirements, and deploy AI-powered features either in the cloud or embedded within device applications. In the previous blogs, we learnt how to get started with AI Toolkit by installing and creating basic application. Please refer to the blogs for detailed insights and updates if this is your first time using the VS Code AI Toolkit.  ... #techcommunity #azure #microsoft https://lnkd.in/gHgfWjd2

☁️🚀 With Azure Container Apps, developers don’t need to worry about cloud infrastructure management. Watch this video to learn from experts how to build adaptive, responsive, and personalized experiences with intelligent apps using #Azure Container Apps. https://lnkd.in/gwxPjvuX #AI #MSFTadvocate