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Learn how to build a RAG application (!) using @eyelevelai with its super solid ETL pipeline for performing RAG on complex docs (!!) using @GroqInc for fast AI inference (!!!) and expose your local @FastAPI server over the internet via @ngrokHQ h

Flag 05/69: 1.Learned about the databases connectivity on Aws, also got to know about AWS RDS. 2.Worked with the graph algorithms such as kahn's algorithm for topological sort

Building a new application DeployIt which is a free, self-hostable Platform as a Service that simplifies the deployment and management of applications and databases. Currently at 40% completion, and it's already GitHub: https://github.com/ezeslucky

Day 26 of #30DaysOfCode with Hitesh Choudhary Sir! : Built a Chat App! 💬 Today, I built a Chat Application, a project that truly brought together several critical aspects of web development. Day 26 Learning: Chat App - Set up project with HT

🚀 New Video Alert! 🎉 We've just released a tutorial on building a Retrieval-Augmented Generation (RAG) application using Ollama and Microsoft's Phi-3 model. Key Points: Ollama:A platform that enables running large language models locally, enhanc

Name - 3D Website Resume Builder Front end - Should upload a File of resume which consists of Document and Pdf etc Back End - I don't know what to do I need help here Functionality - After uploading the resume and enter the prompt based on that the

Okay guys come on- Drop some tips to have highest engagement for business accounts on Instagram/linkedin etc.

Working with startups is always inspiring—seeing innovative ideas come to life is what drives us. What’s the most exciting project you’ve worked on? #StartupLife #Innovation

What are your thoughts on automating the deployment of a JAR (Java Archive) application for production use? I have already automated the process and created a working API, but I'm now considering the frontend aspect.

If you're building AI agents, you should get familiar with these 3 common agent/workflow patterns. Let's break it down. 🔹 Reflection You give the agent an input. The agent then "reflects" on its output, and based on feedback, improves and refines.