Full textual content tutorial (requires MLExpert Professional): https://www.mlexpert.io/prompt-engineering/support-chatbot-using-custom-knowledge-base-with-langchain
Discover ways to construct a buyer assist chatbot that includes customized information from an FAQ assist heart. With the help of an open-source (and personal) LLM and free embeddings via LangChain, you may learn to assemble a chatbot able to delivering real-time responses (with streaming) on a single GPU (T4). We’ll consider the chatbot’s response high quality by testing it with varied questions.
Discord: https://discord.gg/UaNPxVD6tv
Put together for the Machine Studying interview: https://mlexpert.io
Subscribe: http://bit.ly/venelin-subscribe
Be part of this channel to get entry to the perks and assist my work:
https://www.youtube.com/channel/UCoW_WzQNJVAjxo4osNAxd_g/join
00:00 – Introduction
01:14 – Textual content Tutorial
01:34 – FAQ Information Supply
02:15 – Google Colab Setup
02:50 – Create Dataset
04:25 – LLM from HuggingFace in LangChain
11:27 – Embedding Information
15:10 – Conversational Chain
19:25 – QA Chain
20:58 – Chatbot Class
25:05 – Conclusion
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#langchain #chatgpt #gpt4 #promptengineering #llm #artificialintelligence #chatbot #python #pytorch
