Chatbot with Memory powered by ChatGPT, Langchain, and Deep Lake

Описание: Welcome to the captivating tutorial on creating an advanced chatbot using Streamlit Chat, an incredible tool for building interactive interfaces, and the cutting-edge OpenAI GPT-3.5 Turbo language model. In this video, we delve into the intricate process of constructing a chatbot that seamlessly interacts with users and responds intelligently to their queries.

To lay the foundation for our chatbot, we employ Langchain, a versatile data preprocessing framework that facilitates the efficient handling of linguistic data. By leveraging lang chain's powerful features like chains, memory, and data transformations, we ensure a robust and structured foundation for our chatbot's functionality.

But that's not all—introducing Deep Lake, a revolutionary vector database designed to excel across multimodal data. With Deeplake, we enhance our chatbot's capabilities by integrating various data sources, enabling it to process and respond to a wide range of inputs, including text, images, audio, and more. This integration empowers our chatbot to offer a richer and more personalized user experience.

Whether you're an experienced developer or just starting your journey in the world of chatbot development, this tutorial provides an accessible and comprehensive guide to building a powerful and versatile chatbot. Subscribe now and embark on an exciting adventure in the realm of chatbot development with us.

GitHub Repo: https://github.com/AIAnytime/Chatbot-...
Deep Lake by Activeloop: https://www.activeloop.ai/
Deep Lake Dashboard: https://app.activeloop.ai/aianytime07...
OpenAI Dashboard: https://platform.openai.com/
LLM Playlist:    • Large Language Models  

#ai #coding #langchain

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