LangChain OpenAI Python | Tutorial | Prompt Engineering - Prompt Templates - Custom Assistant - P1

Embark on a transformative journey into the world of AI with our latest tutorial: "LangChain OpenAI Python | Hands-on | Prompt Engineering - Prompt Templates - Custom Assistant." This video marks the beginning of an enlightening series where we utilize Langchain, Python, OpenAI, and Google Colab to craft a bespoke AI assistant. Perfect for enthusiasts and developers keen to dive deep into AI customizations and prompt engineering, this guide is filled with detailed code breakdowns, practical examples, and clear explanations.

This series is also great for Javascript/Typescript developers like me. In case, you're looking to transition into Python-based AI development, this series can serve as practice exercises for both Python and OpenAI API. This can be Python for Javascript & Typescript Developers.

👨‍💻 In This Tutorial, You Will Learn:

1. Creating a Custom Travel Assistant: Discover how to send input variables (interest & budget) to a Python method, leveraging the OpenAI API via Langchain. We walk you through building a Travel Assistant that generates tailored itineraries based on user interests (e.g., fishing) and budget constraints ($1000).

2. Utilizing LangChain and OpenAI Libraries: Get hands-on experience with critical libraries and functions, including:
- from langchain_openai import ChatOpenAI

These tools are instrumental in constructing dynamic AI-driven interactions and responses.

3. Leveraging Langchain's Online Resources: Benefit from the extensive documentation and examples provided by Langchain's online library, enhancing your understanding and capabilities in developing custom AI assistants.

🌐 Why This Video is a Must-Watch:

Embarking on this tutorial not only boosts your technical prowess in AI development but also equips you with the innovative skills to engineer complex prompts, design custom templates, and create intelligent assistants tailored to specific user needs. Whether you're aiming to integrate AI into your projects or looking to expand your knowledge in AI programming, this video provides the foundation you need to excel.

💡 Key Highlights:
- Step-by-step guidance on integrating Langchain with Python and OpenAI for bespoke AI development.
- Practical insights into prompt engineering, template creation, and the development of AI assistants.
- Demonstrations on how to effectively use Google Colab for AI programming and development tasks.

👍 Engage with Our Content:
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💬 We Want to Hear From You:
Your feedback and questions are invaluable to our community's growth and learning. Comment below to share your thoughts, experiences, or inquiries about developing AI assistants and prompt engineering. Let's foster a learning community passionate about AI technology and development.

Stay tuned for more content in this series, as we continue to explore the vast possibilities of AI, Langchain, and OpenAI to enhance your projects and skills in AI development.

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[sruthihsr]

Can you add a video with a frountend integration, I am not looking for streamlit wich creates a new endpoint. I want something local