Emmanuel Nwanochie’s Post

Imagine building a full-stack app with just ONE prompt! 🤯 We just published an exciting blog on how to install and run Bolt.new locally on a NodeShift GPU-powered Virtual Machine. Bolt.new is an innovative AI-powered web development platform developed by StackBlitz that allows you to create full-stack web applications effortlessly. Using advanced AI models like Claude 3.5, it helps developers (and even non-developers!) build applications quickly and efficiently without extensive coding knowledge. In this detailed guide, we walk you through: Setting up a NodeShift GPU Node 💻 Installing Node.js, pnpm, and other essential tools 🛠️ Configuring API keys for OpenAI, Anthropic, or Ollama 🔑 Choosing your favorite LLM models like GPT-4 or Claude 🌟 Running your first Bolt.new server to start building apps! 🚀 👉 Check out the full blog here: https://lnkd.in/gDvB_RKZ #aidev #fullstack #aisoftware #aiapps

🚨‼️Heyy #linkedin, today is #day147 of #dailylearning and today’s course was on the topic, Build a JavaScript AI App with React and the OpenAI API. Thank you Morten Rand-Hendriksen for this course. #consistencymatters #betterdaysahead #365daysoflearning Just finished "Build a JavaScript AI App with React and the OpenAI API" by Morten Rand-Hendriksen! Check it out: https://lnkd.in/eQM4zYs4 #javascript, #reactjs, #artificialintelligence.

Just completed the "Build a JavaScript AI App with React and the OpenAI API" course by Morten Rand-Hendriksen! This course is a must-try for anyone interested in #javascript, #reactjs, and #artificialintelligence. Check it out here: https://lnkd.in/e8cfdqiU

🚀 Exciting Project Showcase: Semantic Cache Demo with Next.js and Upstash! 🧠 I've been working on a fun project that demonstrates the power of semantic caching in web applications. Here's what makes it special: 🔍 Efficient Query Handling: Using Upstash Vector and OpenAI's GPT-4, this demo showcases how to cache and retrieve semantically similar queries, significantly reducing API calls and improving response times. 🛠️ Tech Stack: Next.js for the React framework Upstash Vector for serverless vector database OpenAI GPT-4 for advanced language processing Tailwind CSS for sleek styling 🎥 See it in action: [Insert your demo video link here] Key Features: 1. Semantic similarity search Efficient caching of API responses Improved response times for similar queries 👨💻 Want to try it yourself? Check out the video for a link to the repo https://lnkd.in/eFUe7kDY This project is perfect for developers looking to optimize their AI-powered applications or anyone interested in the latest advancements in web caching techniques. #WebDevelopment #AI #SemanticCache #NextJS #OpenAI #Upstash #Innovation

I just finished this great course about building a JavaScript AI App with React and the OpenAI API, it is amazing what we can build and create with this new effective tool. Check it out here: https://lnkd.in/e6N_vbDB #javascript #reactjs #artificialintelligence.

Just finished the course “Build a JavaScript AI App with React and the OpenAI API” by Morten Rand-Hendriksen! Check it out: https://lnkd.in/gYxnJhXX #javascript #reactjs #artificialintelligence.

Just finished the course “Build a JavaScript AI App with React and the OpenAI API” by Morten Rand-Hendriksen! Check it out: https://lnkd.in/gvQxXxPf #javascript #reactjs #artificialintelligence.

Just finished “Build a JavaScript AI App with React and the OpenAI API”   #reactjs #artificialintelligence.

Just finished the course “Build a JavaScript AI App with React and the OpenAI API” by Morten Rand-Hendriksen! Check it out: https://lnkd.in/giNVCPrX #javascript #reactjs #artificialintelligence.

🚀 Exciting Project Update! 🚀 I recently completed a project where I built a House Price Prediction model using TensorFlow for machine learning and integrated it into a Next.js application for the frontend. 🏡💻 In this project, I utilized TensorFlow to train a model based on key features like square footage, bedroom count, and bathroom count to predict house prices with accuracy. I then brought the power of AI to the web by seamlessly incorporating the model into my Next.js app, making predictions interactive and accessible! This project has been an incredible learning experience, combining my frontend skills with machine learning to build something truly impactful. 🎯 Looking forward to taking on more AI-driven web development challenges! #TensorFlow #NextJS #MachineLearning #AI #HousePricePrediction #WebDevelopment #TechEnthusiast #FrontendDeveloper