Software Engineer | ... • 12m
💡 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 efficient semantic search. 3️⃣ Hugging Face Ecosystem: Master pre-trained models and tools to accelerate your AI projects. 4️⃣ Model Fine-Tuning: Adapt models to specific tasks for better performance and accuracy. 5️⃣ Client-Side Models: Build lightweight, on-device AI solutions for fast and private processing.
Hey I am on Medial • 5m
I'm developing a smart AI-powered meal planner mobile app that helps users create personalized meal plans based on their health goals, dietary preferences, regional cuisine, and lifestyle. The app suggests meals for breakfast, lunch, snacks, and dinn
See MoreGenai intern • 1m
Over the last few weeks, I had the opportunity to intern at Value Health, where I dived deep into the world of Generative AI and semantic understanding for healthcare. From exploring contextual embeddings and knowledge graphs to optimizing retrieval
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| Technologist | ML ... • 9m
In the ever-evolving AI landscape, a new player is making waves — Deepseek. While OpenAI, Google DeepMind, and Meta AI have been dominant forces, Deepseek is emerging as a formidable contender in the AI race.The recent buzz around Deepseek stems from
See MoreBuidling FedUp| AI R... • 5m
🚨 Everyone says "RAG is dead" — but I say: It’s just been badly implemented. I’ve worked on AI systems where Retrieval-Augmented Generation (RAG) either changed the game… or completely flopped. Here’s the hard truth 👇 --- 🤯 Most teams mess up
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