Join me in this tutorial as we delve into the creation of an advanced Job Interview Prep Chatbot, harnessing the power of open-source technologies. We will explore the use of Sentence Transformers for embeddings, employ Faiss CPU for vector storage, and seamlessly integrate Mistral-7b-Instruct, a robust language model, using the Streamlit library to establish a dynamic conversational interface. Follow along with us step by step to craft a smart and effective Job Interview Prep Chatbot, leveraging readily available resources. Whether you're new to the field or an experienced enthusiast, dive into the realm of conversational AI and enhance your job interview skills right away.

This Job Interview Prep Chatbot was built using Mistral-7b-Instruct and Sentence Transformers. The bot is powered by Langchain and Streamlit. It runs efficiently on a decent CPU machine with a minimum of 12GB of RAM.
#generativeai #mistral #huggingface

Mistral Docs :[ Ссылка ]
Mistral-7B-Instruct :[ Ссылка ]
Github Code:[ Ссылка ]
Faiss GitHub: [ Ссылка ]
Streamlit:[ Ссылка ]
[ Ссылка ]
Sentence Transformers Hugging Face: [ Ссылка ]
CTransformers GitHub: [ Ссылка ]
Buy me Coffee:[ Ссылка ]
Llama2-70B-Multi-Document Chatbot: [ Ссылка ]

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