Скачать с ютуб Build and Deploy an AI Chatbot Using LLMs, Python, RunPod, Hugging Face, and React Native в хорошем качестве

Build and Deploy an AI Chatbot Using LLMs, Python, RunPod, Hugging Face, and React Native

RunPod: https://rebrand.ly/Runpod-Abdullah 🚀 Introduction: ================================ In this tutorial, we’ll build and deploy a complete coffee shop customer service AI chatbot that takes orders, provides menu info, blocks irrelevant conversations, and even recommends products based on Market Basket Analysis! We'll cover cutting-edge topics like Prompt Engineering, Retrieval-Augmented Generation (RAG), and the modular power of Agent-Based Systems. You'll also learn how to deploy Large Language Models (LLMs) and custom APIs using RunPod, and build a full React Native app that connects to Firebase and the RunPod endpoints. By the end, you’ll have a fully functional chatbot app and level up your AI, development, and deployment skills! 🔄 Update: Runpod seems to have changed the place to access the openAI URL here it is: https://api.runpod.ai/v2/{RUNPOD_ENDPOINT_ID}/openai/v1 and the RunPod endpoint ID is the string right under the endpoint name. here is a link for more information: https://docs.runpod.io/serverless/wor... 💡 What You’ll Learn: ================================ 1. 🧠 Prompt Engineering: Guide your chatbot with precise instructions. 2. 🔍 Retrieval-Augmented Generation (RAG): Enhance chatbot answers using personalized data. 3. 🛠️ Agent-Based Systems: Create specialized components for efficient and accurate chatbot responses. 4. 📊 Market Basket Analysis Recommendation Engine: Build a recommendation engine from scratch. 5. 🖥️ RunPod Deployment: Deploy LLMs, embedding models, and custom APIs effortlessly. 6. 📱 React Native App: Build an end-to-end mobile app connected to Firebase and RunPod. 🔗 Links: ================================ RunPod: https://rebrand.ly/Runpod-Abdullah Github Repo: https://github.com/abdullahtarek/coff... Coffee Shop Transactions Kaggle Dataset Link: https://www.kaggle.com/datasets/ylcha... 🎁 Free Credit Codes: ================================ Grab one of the 20 credit codes in the description to get free credits on RunPod! How to Redeem: Go to the left panel, click on Billing, scroll down to Credit Codes, and paste one of the codes below. 1602zubevdxd7xbzm4ap mpbictqmksolp73td4mq opruk1yoqatfc1jw2nry 7l6kusubtdy3cb95906t 7rhjrmch9ilvnwd3dt0r oiykzqwrk2vhqgkvyh8c 4s5vjcl2irojl1bnkh89 vn7wpd7jkpdnamq3q516 6st9nt72etun8xcvlb6j svsg0g0fjiuozkaam82t 8kjapravfr1se22126it 6itba529k8083pm15dtj oy9k1wombmml0pyoo1ba vyoryb2v9q4tr58etfjh v6smwvna8c10racrv5si 🔑 TIMESTAMPS ================================ 0:00 - Introduction 5:27 - Deploy Llama LLM with RunPod 30:15 - Prompt Engineering Tutorial 52:00 - RAG Introduction 1:15:35 - Recommendation engine Development 2:17:20 - Firebase DB setup 2:47:10 - Pinecone Vector DB setup 3:13:13 - Agent Based System 5:49:20 - Deploy chatbot API with RunPod 6:15:31 - React Native application Front End 11:14:30 - ChatBot React Native Page