May 20
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In this beginner-friendly LangSmith tutorial, we will learn how to use LangSmith with LangChain step-by-step. You will understand: ✔ What is LangSmith ✔ Why LangSmith is important ✔ What are Projects, Runs, and Traces ✔ What is AI Observability ✔ How to debug LangChain applications ✔ How to monitor LLM applications ✔ How to track prompts, tokens, latency, and errors ✔ LangSmith integration with LangChain ✔ Real working chatbot example using LangSmith This tutorial is specially designed for: - Python Developers - AI/ML Engineers - Generative AI Beginners - LangChain Learners - LLM Application Developers By the end of this video, you will clearly understand how professional AI applications are monitored and debugged using LangSmith. Technologies Used: - Python - LangChain - LangSmith - OpenAI Useful Links: LangSmith Official Website: https://www.langchain.com/langsmith LangChain Documentation: https://python.langchain.com/ If you enjoyed the video, don’t forget to Like, Share, and Subscribe for more AI, Python, LangChain, LangGraph, FastAPI, and Generative AI tutorials. 📬 CONNECT WITH ME: LinkedIn: www.linkedin.com/in/vivekpol Twitter: https://x.com/polvivek77 GitHub: https://github.com/polvivek77/LangSmith 🔔 Subscribe and hit the bell icon to get new project videos every week. Business enquiries: polvivek77@gmail.com #LangSmith #LangChain #GenerativeAI #Python #LLM #OpenAI #AIEngineering