Generative AI with LangChain

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Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants, while integrating web searches and code execution. The ChatGPT and GPT models by OpenAI have revolutionized our approach to writing, research, and information processing. This book explores the functioning, capabilities, and limitations of LLMs like ChatGPT and Bard, demonstrating how to implement applications based on these models. As you progress, you'll work with transformer models and various attention mechanisms, refining the training and fine-tuning processes. You'll also delve into data-driven decision-making through automated analysis and visualization using pandas and Python. The book covers heuristics for using these models effectively, including prompting, training, fine-tuning, and deploying at scale. By the end, you'll have a comprehensive understanding of LLMs and how to leverage them. Aimed at developers, researchers, and anyone keen on LLMs, the book is written clearly and includes numerous code examples for hands-on learning. Whether you're a beginner or an experienced developer, this resource will help you maximize your understanding of LLMs and stay ahead in the LangChain landscape. Basic Python knowledge is required, and some familiarity with machine learning will enhance your learning experience.