🚀 Build an AI Assistant App with Memory in 15 Minutes | Claude 3.5 Sonnet Tutorial

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Discover how to build a powerful AI assistant with persistent memory using OpenAI's Assistant API and Streamlit. This tutorial walks you through creating a complete end-to-end application that combines the cutting-edge capabilities of AI with practical user management.
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Hello, I'm Imtiaz, a seasoned expert in data science, AI development, and prompt engineering. My mission is to empower your projects with Custom-GPT solutions. Whether you're looking to build, deploy, or sell GPT chatbots with no code/low code expertise, I'm here to partner with you. Let's leverage my extensive experience to elevate your projects, transforming innovative ideas into practical, profitable solutions. Join me in navigating the exciting world of AI and let's create something remarkable together.
Chapters:
0:00 Introduction to Assistant API and Threads
1:32 Conceptual Overview of the Application
5:29 Setting Up the Development Environment
6:14 Understanding the OpenAI Assistant Framework
8:49 Building the Initial Streamlit Application
10:33 Refining the Streamlit Interface
12:21 Integrating a Database for User Management
15:26 Implementing User Authentication and Thread Management
17:19 Conclusion and Future Possibilities
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#openai #openaiassistant #vectordatabase #openaiassistant #rag #customgpt #claude

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Have you used Claude 3.5 Sonnet To Build Your AI Assistant App?
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[@anthonyswift1136]

I’m a health and fitness coach, currently trying to build an app with an advanced AI assistant that will utilise various APIs. So would you say I’ve just wasted my time using custom gpt on open AI?

[@CustomGPT.AIAcademy]

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[@anthonyswift1136]

Just tried to join the call

[@CustomGPT.AIAcademy]

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