Designing LLM Applications: A Comprehensive Guide to Development and Deployment
Vemula, Anand
- 出版商: Independently Published
- 出版日期: 2024-08-07
- 售價: $660
- 貴賓價: 9.5 折 $627
- 語言: 英文
- 頁數: 98
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798335255745
- ISBN-13: 9798335255745
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相關分類:
LangChain
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商品描述
Designing LLM Applications: A Comprehensive Guide to Development and Deployment" provides an in-depth exploration of building and implementing applications using Large Language Models (LLMs). This guide is tailored for developers, data scientists, and AI enthusiasts aiming to harness the power of LLMs like GPT, BERT, and T5 in real-world scenarios.
The book begins with a thorough introduction to LLMs, detailing their evolution, key concepts, and core technologies. It demystifies the process of setting up a development environment, from installing essential tools to running pre-trained models, offering a solid foundation for newcomers and experienced practitioners alike.
In the second part, the focus shifts to designing LLM-based applications. Readers learn to identify practical use cases, define functional requirements, and address ethical and legal implications. Detailed guidance on data collection and preparation ensures high-quality inputs for model training, emphasizing the importance of data integrity.
The guide then delves into advanced techniques for optimizing LLM performance, including hyperparameter tuning, reducing latency, and ensuring scalability. Strategies for deploying models, whether on cloud platforms or on-premises, are explored, alongside methods for monitoring and maintaining performance.
Practical applications and case studies are central to the book. From text generation and summarization to domain-specific use cases in healthcare, finance, and education, readers gain insights into deploying LLMs effectively. The book also includes hands-on projects and tutorials, enabling readers to build and refine their own applications.
Ethical considerations and best practices are addressed comprehensively, covering bias mitigation, transparency, and cost management strategies.
By blending theoretical knowledge with practical guidance, "Designing LLM Applications" equips readers with the tools and expertise needed to develop sophisticated LLM applications and navigate the complexities of modern AI technologies.
商品描述(中文翻譯)
《設計 LLM 應用程式:開發與部署的綜合指南》深入探討了使用大型語言模型(LLMs)構建和實施應用程式的過程。本指南專為開發人員、數據科學家和 AI 愛好者量身打造,旨在幫助他們在現實場景中利用 GPT、BERT 和 T5 等 LLM 的強大功能。
本書首先對 LLM 進行全面介紹,詳細說明其演變、關鍵概念和核心技術。它揭開了設置開發環境的過程,從安裝必要工具到運行預訓練模型,為新手和經驗豐富的從業者提供了堅實的基礎。
在第二部分,重點轉向設計基於 LLM 的應用程式。讀者將學習識別實際用例、定義功能需求以及處理倫理和法律問題。關於數據收集和準備的詳細指導確保了模型訓練的高質量輸入,強調了數據完整性的重要性。
接下來,本指南深入探討了優化 LLM 性能的高級技術,包括超參數調整、降低延遲和確保可擴展性。還探討了在雲平台或本地部署模型的策略,以及監控和維護性能的方法。
實際應用和案例研究是本書的核心。從文本生成和摘要到醫療、金融和教育等領域的特定用例,讀者將獲得有效部署 LLM 的見解。本書還包括實作專案和教程,使讀者能夠構建和完善自己的應用程式。
倫理考量和最佳實踐得到了全面的探討,涵蓋了偏見緩解、透明度和成本管理策略。
通過將理論知識與實踐指導相結合,《設計 LLM 應用程式》為讀者提供了開發複雜 LLM 應用程式所需的工具和專業知識,並幫助他們駕馭現代 AI 技術的複雜性。