The Power Of Python
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The Power of Python
Author: Rachel Keranen
language: en
Publisher: Cavendish Square Publishing, LLC
Release Date: 2017-12-15
Though Python takes its name from the comical British television series Monty Python's Flying Circus, the coding language is seriously powerful. Guido van Rossum, the programmer who wrote Python, was motivated to create a coding language that is intuitive and easy to understand. This book traces how van Rossum achieved his goal and how both novice programmers and experts use Python to create apps like Instagram and Pinterest and to achieve other objectives.
Mastering Large Language Models with Python: Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python
Author: Raj Arun
language: en
Publisher: Orange Education Pvt Limited
Release Date: 2024-04-12
A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise Key Features● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. Book Description “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence. What you will learn ● In-depth study of LLM architecture and its versatile applications across industries. ● Harness open-source and proprietary LLMs to craft innovative solutions. ● Implement LLM APIs for a wide range of tasks spanning natural language processing, audio analysis, and visual recognition. ● Optimize LLM deployment through techniques such as quantization and operational strategies like LLMOps, ensuring efficient and scalable model usage. Table of Contents 1. The Basics of Large Language Models and Their Applications 2. Demystifying Open-Source Large Language Models 3. Closed-Source Large Language Models 4. LLM APIs for Various Large Language Model Tasks 5. Integrating Cohere API in Google Sheets 6. Dynamic Movie Recommendation Engine Using LLMs 7. Document-and Web-based QA Bots with Large Language Models 8. LLM Quantization Techniques and Implementation 9. Fine-tuning and Evaluation of LLMs 10. Recipes for Fine-Tuning and Evaluating LLMs 11. LLMOps - Operationalizing LLMs at Scale 12. Implementing LLMOps in Practice Using MLflow on Databricks 13. Mastering the Art of Prompt Engineering 14. Prompt Engineering Essentials and Design Patterns 15. Ethical Considerations and Regulatory Frameworks for LLMs 16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index
PYTHON BASED POWER SYSTEM AUTOMATION IN PSS/E
Systems involving minimal contributions from person are more desired these days. This trend leads to introduction of automation in the processes. One such system is power system, Engineers have to design power system considering all the load and generation variations, all types of faults and outages possible that can damage power system and are harm to its reliability. All this work seemed tedious, but with the advent of time several great power system simulators were introduced that made all these analyses easy and fast. One is Power System Simulator for Engineers (PSS/E), which helps in system studies and gives responses quite real. But yet running different analyses for the purpose of routine check of large power systems can take many hours and it needs expertise in the software as well. So there is a need of much more simpler method to perform all these analysis. Luckily, PSS/E provides one such method. It involves developing some module/routine for every analysis through Python or Fortran.