In this tutorial, I’ll guide you through the fascinating process of building your very own chatbot for veterinary doctors. We’ll delve into the powerful world of Generative AI, utilizing cutting-edge open-source tools and the LLM model to make it happen.
📚 Data Sources:
1️⃣ We’ll tap into a comprehensive encyclopedia of dog pet care, equipping our chatbot with a wealth of knowledge to assist pet owners.
2️⃣ We’ll also explore vet case studies, enriching our bot with real-life scenarios for informed decision-making.
💡 Key Ingredients:
We’ll employ the Multilingual E5 Large Embeddings Model to create embeddings for our documents.
The FAISS vector store will help us efficiently manage our data.
For the brainpower behind our chatbot, we’ve harnessed the remarkable Llama 2 by Meta AI, a formidable large language model.
🛠️ Tools of the Trade:
Our backend will be powered by FastAPI, ensuring seamless communication between the user and the chatbot.
Langchain serves as our trusty framework for prompts, chains, and more.
Join me on this Generative AI adventure, as we unlock the potential of chatbots in veterinary medicine. Don’t forget to like, comment, and subscribe to stay updated on the latest AI-driven innovations in pet care!
Llama 2 Deployment Video 1st: https://youtu.be/rQq1m2aJ_fk
Llama 2 Deployment Video 2nd: https://youtu.be/Nlo7WclRBXc
Langchain Docs: https://python.langchain.com/docs/get_started/introduction.html
FAISS Docs: https://faiss.ai/index.html
Multilingual E5 Large Embedding Model: https://huggingface.co/intfloat/multilingual-e5-large
Llama 2 by Meta AI: https://huggingface.co/meta-llama/Llama-2-7b
Medical Chatbot using Llama 2: https://youtu.be/kXuHxI5ZcG0
LLM Playlist: https://www.youtube.com/playlist?list=PLrLEqwuz-mRIdlmvhddd7nGiNh8exqsBG
AI Anytime’s GitHub: https://github.com/AIAnytime
#generativeai #llama2 #ai