Mastering Prompt Engineering by Akshay Bhuvaneswari Ramakrishnan(.PDF)
File Size: 29.4 MB
Mastering Prompt Engineering: A Guide to Crafting Effective Prompts by Akshay Bhuvaneswari Ramakrishnan, P. Padmakumari, R. Manikandan, S. Vidivelli, S. Magesh, Harish Garg
Requirements: .PDF reader, 29.4 MB | True PDF
Overview: This book explains the principles, structure, and real-world practice of prompt engineering in a way that anyone working with large language models can understand and apply. Rather than treating prompting as a collection of hacks, it walks the reader through how to think about role, context, task, constraints, and examples so that LLMs produce reliable, domain-appropriate outputs. Starting from the basics of “what is a prompt,” the book then connects prompting to how generative AI models actually work, introduces core and advanced prompting patterns (prompt chaining, dynamic templates, tool-augmented prompting), and shows how to evaluate and refine model responses. LLMS like GPT-3.5 and Mistral 7B possess the potential to revolutionize various fields. However, their intricate nature can pose a challenge for developers seeking to harness their capabilities. The solution is LangChain, an open-source framework for developers created to make creating LLM-powered applications easier. LangChain brings the LLM integration to a standard interface, which is helpful. Typically, LLMs reach each other through complex application programming interfaces and require highly skilled coding experience.
Genre: Non-Fiction > Tech & Devices
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