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I am currently doing my clg project on "Time series data classification using transformer models". the dataset is based on patient temperature data. where our project goal is to classify patients to their respective disease based on only temperature

Hello Friends, I’ve been diving deep into Retrieval-Augmented Generation (RAG) and its evolved form — Agentic RAG — lately, and I’m genuinely curious about how others are thinking about it. I’d love to hear your ideas, interesting use cases, or eve

I recently thought of creating a deep learning project for my college which gets graded and I realised that there is a huge scarcity of good quality datasets for the projects currently. Like the project I have selected doesn't have a solid proper dat

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

I'm hiring for part-time Next JS Developers, Node JS Developers, RAG Developers, Technical Project Managers for my agency Vivid Mynd Technologies. Interested ones can comment in the post.

TrafficMine Project Updates: Day2 :) Built a basic dashboard for adding projects. Added logic to scrape project logos from favicons. Designed a script users can integrate into their apps to send visitor data to the backend for tracking. Created and

I have a project idea. Say if we could collect all the materials of information for college exams and the AI could teach us the entire syllabus in one night. Not just the text model, but actually interactive multimodel agent.

💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e