Hey there, tech enthusiasts! 🌟 In today's video, I'm thrilled to walk you through creating your very own AI research assistant right on your computer using Ollama AI! This powerful tool is designed to streamline your research process, from searching for articles to obtaining specific insights. 🤖💡 This is about How I created AI Research Assistant and it Costs 0$ to Run
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We'll start by searching for research articles using the archive Python package, then move on to converting these articles into embeddings and storing them in a Quadrant database. After that, we'll use the Large language model with Ola AI to clarify any doubts directly from the research articles. And to top it off, we're building a user-friendly interface for this entire process. 🚀
Whether you're a beginner or an experienced developer, this tutorial will provide you with step-by-step instructions, including installing necessary packages, setting up the environment, and coding your way to a sophisticated AI assistant. Don't miss out on enhancing your research with AI - let's dive in! 📚🔍
Timestamps:
0:00 - Introduction to AI Research Assistant
1:10 - Installation and Setup
2:03 - Importing Required Modules
2:12 - Searching and Downloading Papers
3:05 - Converting to Embeddings and Database Storage
4:51 - Setting Up Llama Language Model for Queries
8:23 - Adding a User Interface with Gradio
9:58 - Conclusion and Future Videos
🔗 Resources & Links:
Ollama Tutorials: [ Ссылка ]
LangChain Tutorials: [ Ссылка ]
Embeddings: [ Ссылка ]
Patreon: [ Ссылка ]
Ko-fi: [ Ссылка ]
Discord: [ Ссылка ]
Twitter / X : [ Ссылка ]
Code: [ Ссылка ]
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This guide is perfect for anyone looking to integrate AI into their research or curious about the potential of local AI models. Don't forget to hit the like button, subscribe, and click the bell icon to stay updated on more AI-related content. Your support helps make complex tech accessible to a wider audience. Thanks for watching! 🌈✨
