6 Kaggle Notebooks to Build a Strong Foundation in LangChain
Unlock LangChain Mastery: 6 Must-Try Kaggle Notebooks
LangChain is a go-to framework for building language model-powered applications, offering developers powerful tools for chaining model outputs, parsing results, and more.
In this article, we present six carefully selected Kaggle notebooks that will guide you through the core concepts of LangChain. From prompt templates and output parsing to chatbot memory management and agent creation, these hands-on resources are perfect for both beginners and those looking to refine their skills.
Each notebook provides clear, practical examples, helping you build a strong foundation in LangChain, with a special focus on leveraging the OpenAI API for advanced applications.
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My New E-Book: Prompt Engineering Best Practices for Instruction-Tuned LLM
I am happy to announce that I have published a new ebook Prompt Engineering Best Practices for Instruction-Tuned LLM. Prompt Engineering Best Practices for Instruction-Tuned LLM is a comprehensive guide designed to equip readers with the essential knowledge and tools to master the fine-tuning and prompt engineering of large language models (LLMs). The book covers everything from foundational concepts to advanced applications, making it an invaluable resource for anyone interested in leveraging the full potential of instruction-tuned models.