Alexander Nohe’s Post

Are you a Databricks user and want to play around with our new open DBRX LLM right now? Just head to our new LLM comparison UI called Playground! Or host it in your own cloud with our model serving! (Note: In default Pay-as-you-go-approach you don't get as much speed as when we set up a premium user pipeline)

For those who missed it, the Application Development Spotlight session at #GoogleCloudNext is now available on YouTube. We covered a lot of ground including: - Full Codebase Awareness in Gemini Code Assist powered by Gemini 1.5 Pro and it’s industry-first 1M token (!!) context window - Code Customization capabilities in Code Assist demonstrated by Jonathan Siddharth at Turing - Snyk and Google Cloud partnership bringing new security capabilities to Code Assist care of Danny Allan - Gemini in Firebase public preview, bringing AI assistance to Firebase console workflows thanks again to Aja Hammerly - Lessons learned from Ford Motor Company on building mission-critical GenAI applications on Google Cloud, thanks to Yao Ge - How to build your first GenAI application on Google Cloud using Python, LangChain and AlloyDB as demonstrated by Aaron Wanjala A huge thank you to Ning Ge Nikhil Kaul Rakesh Dhoopar kalani addington and all of the product managers, product marketers, engineers, and advocates who helped make this session happen. https://lnkd.in/gRKh7q7W

Last year's Google I/O introduced a wave of AI-powered developer tools, including Studio Bot, an in-app assistant for Android Studio. This AI chatbot could answer questions and help with coding tasks. Now, Google is giving Studio Bot a new name: Gemini in Android Studio. Beyond its in-app assistance, Gemini lets you build your own AI projects. The latest Android Studio Canary release offers a "Gemini API Starter" template to kickstart your work with Google AI for text and images. They've also included a more comprehensive sample code called "Google Generative AI" for further exploration. #Gemini #GenerativeAI #Android_Studio

🚀 Why OpenAI Shifted from Next.js to Remix: A Quick Look 🚀 OpenAI's recent transition from Next.js to Remix has caught the attention of the dev community. Why the change? Remix, known for its routing system and client-side rendering focus, aligns better with OpenAI's architecture. OpenAI's app leans on client-side interactions, minimizing server-side rendering. Remix's "loaders" also speed up initial page load, making it a natural fit for OpenAI’s needs. By using Remix, OpenAI optimizes data fetching and delivers faster, smoother experiences exactly what their users expect. 💡 #OpenAI #Remix #NextJS #FrontendDevelopment

👉 Microsoft's Prompt Flow aims to improve the AI development cycle with its ability to create executable flows visually. It allows for rapid iteration in a team, including the ability to test multiple versions of your prompts with evaluation flows. In the 🎬 video below, I take a look at how Prompt Flow works by creating a flow that can search for images and embedding that flow in a Python front-end application built with Streamlit. Imho, Prompt Flow works best in the early design and testing stages. Although you can deploy flows to the cloud or as a container, we typically do not host flows for production purposes. #azure #ai #llm #promptflow https://lnkd.in/es3HqR2e

🚀 Thrilled to have early access to #Google Project #IDX! 🌟 I've been using it for nearly 5 months to build apps and websites entirely in the cloud. It's an all-in-one platform—just log in and start coding. Perfect for hackathons and challenges! 🌐 Now in public beta worldwide. Start building today with AI assistance, an in-browser Android Emulator, and Google product integrations. Try it now! 🛠️ #ai #projectidx #coding

This weekend, I was exploring NextJs and made this simple app in NextJs with CRUD functionality 😀 𝐀𝐈 𝐏𝐫𝐨𝐦𝐩𝐭 𝐒𝐡𝐚𝐫𝐢𝐧𝐠 𝐀𝐩𝐩 : This application allows users to share important AI prompts that can be used to improve AI prompt results. 𝐓𝐫𝐲 𝐋𝐢𝐯𝐞 : https://lnkd.in/gtvm4Dv5 𝐒𝐨𝐮𝐫𝐜𝐞 𝐂𝐨𝐝𝐞 (Lets follow each other) : https://lnkd.in/gqF7NNT9 (Thankyou Aryan Singh , learning through projects is fantastic approach and also, Thankyou Adrian Hajdin for this amazing tutorial.) #project #nextjs #learning

🚀 Day 4 of the 7-Day "Build Your AI App" Challenge with Dhana Vasanth Sir by GUVI is here! Today, I focused on preparing my AI app, "ASK TO ANSWER," for public access! 🌐 🔹 Created a GitHub repository for my app. 🔹 Uploaded my VS Code project, ensuring version control and collaboration readiness. 🔹 Linked GitHub with Render to simplify the deployment process. 🔹 Deployed my site on Render, transitioning from local to cloud hosting. 🔹 My app is now live and accessible to everyone! Eager to see what the rest of the challenge brings! 💻🚀 #AI #GitHub #CloudHosting #Render #AIAppChallenge #GUVI #CodingJourney #Day4 #MachineLearning #Streamlit #GoogleGemini #Python #VSCode #Chatbot #TechChallenge #GenerativeAI #BuildAppUsingAIWorkshop #Innovation #AIApplications #LearnWithGUVI

New Android Studio Jellyfish incorporates Gemini as your friendly pairprogrammer. I already use Github Copilot to help me code and I find it very useful. It will be fun to see if what Gemini can do! What are your thoughts on code generating AI? Which on do you prefer and why? #AndroidStudio #Gemini #GithubCopilot

A few days ago, I was working with TensorFlow.js, exploring its models—particularly the Handpose model—and ended up creating a gesture-controlled web application (check out the video below!). Though the app may look simple, my 6+ years of experience with React and Node.js allow me to see beyond the surface. The potential for integrating machine learning into web applications/mobile applications is mind-blowing, and this side project opened my eyes to the exciting possibilities ahead. Well, let's continue exploring, how else to tell what we can find? #tensorflow #tensorflowjs #mwtf