In this exciting tutorial, I’ll show you how to create your very own CSV Streamlit Chatbot using the powerful and open-source Llama 2 language model developed by Meta AI! The best part? It runs smoothly on a regular CPU machine, so no need for expensive hardware.
Throughout the video, I’ll guide you step-by-step on building the chatbot, which can effortlessly retrieve information from a CSV file. To enhance its capabilities, we’ll leverage sentence transformers for embeddings and utilize faiss CPU for efficient vector storage.
If you’ve ever wanted to dive into the world of chatbots and explore the potential of natural language processing, this tutorial is perfect for you. Join me and let’s get hands-on with this exciting project!
Remember to like, comment, and subscribe to stay updated with more thrilling tutorials like this one. Happy coding!
AI Anytime’s GitHub: https://github.com/AIAnytime
Previous Llama 2 Video (Medical Bot): https://youtu.be/kXuHxI5ZcG0
Streamlit Docs: https://docs.streamlit.io/
Llama 2 Model HF: https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML
Sentence Transformers Docs: https://huggingface.co/sentence-transformers
Langchain Docs: https://docs.langchain.com/docs/
LLM Playlist: https://www.youtube.com/playlist?list=PLrLEqwuz-mRIdlmvhddd7nGiNh8exqsBG
Streamlit Projects Playlist: https://www.youtube.com/playlist?list=PLrLEqwuz-mRJCRfUXQLCB8IFvHPlh7IjF
LinkedIn Account: https://www.linkedin.com/in/sonukr0/
WhatsApp Group of AI Anytime: https://chat.whatsapp.com/EDnAeyBL18GB9xxcnyTW3Y
#generativeai #coding #python