Crafting Effective Prompts: A Practice to Prompt Engineering

Prompt engineering is a method where we give clear instructions or questions or we will input text, which are called prompts, to guide models like GPT-4 creating specific results and display them as output. AI models have undergone extensive training on vast datasets, leading to the release of numerous models catering to various industries.

In this book, you will gain understanding on OpenAI, LLM, LLAMA2, LangChain, Transformer Model, Vector Store, HuggingFace and how to utilize them through the principles of Prompt Engineering using Prompt design techniques by solved programming examples written in Python.

Upon completion of this reading, you will have gained hands on experience in Prompt engineering principles, empowering you to apply them effectively to develop new applications specific to your interest and requirements.

You can find source codes for this book at this GitHub location: https: //github.com/vsubu1/CraftingEffectivePrompts and you can try these codes using PyCharm or Visual Studio Code IDE.

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