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In this video, I will explain how you can integrate generative AI models in Jupyter. Jupyter AI provides a user-friendly and powerful way to explore generative AI models in notebooks and improve your productivity in JupyterLab and the Jupyter Notebook. More specifically, Jupyter AI offers: An %%ai magic that turns the Jupyter notebook into a reproducible generative AI playground. This works anywhere the IPython kernel runs (JupyterLab, Jupyter Notebook, Google Colab, VSCode, etc.). A native chat UI in JupyterLab that enables you to work with generative AI as a conversational assistant. Support for a wide range of generative model providers and models (AI21, Anthropic, Cohere, Hugging Face, OpenAI, SageMaker, etc.). 👉🏼 Links: Jupyter AI: https://jupyter-ai.readthedocs.io/en/... OpenAI api key: https://platform.openai.com/account/a... ------------------------------------------------------------------------------------------ ☕ Buy me a Coffee: https://ko-fi.com/datasciencebasics ✌️Patreon: / datasciencebasics ------------------------------------------------------------------------------------------ 🔗 🎥 Other videos you might find helpful: 🔥 Falcon: • Create ChatGPT-like UI Using Falcon, LangC... ⛓️ Langflow: • ⛓️ langflow | UI For 🦜️🔗 LangChain ⛓️ Flowise: • Flowise | UI For 🦜️🔗 LangChain 🔥Chainlit playlist: • Chainlit 🦜️🔗 LangChain playlist: • LangChain ------------------------------------------------------------------------------------------ 🤝 Connect with me: 📺 Youtube: https://www.youtube.com/@datascienceb... 👔 LinkedIn: / sudarshan-koirala 🐦 Twitter: / mesudarshan 🔉Medium: / sudarshan-koirala 💼 Consulting: https://calendly.com/datasciencebasic... #jupyterlab #jupyternotebook #jupyterai #llm #datasciencebasics