Beyond The Basics Supercharging Llm Reasoning And Coding
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Beyond the Basics: Supercharging LLM Reasoning and Coding
Author: Aarthi Anbalagan
language: en
Publisher: Libertatem Media Private Limited
Release Date: 2024-08-12
Large Language Models (LLMs) are revolutionizing how we interact with artificial intelligence, pushing the boundaries of reasoning, coding, and data-driven innovation. Beyond the Basics: Supercharging LLM Reasoning and Coding offers an in-depth exploration into optimizing these powerful tools for real-world applications. This book equips IT professionals, AI specialists, and senior executives with the knowledge to enhance LLM performance through high-quality data, supervised fine-tuning, and advanced techniques in reasoning and coding. It delves into essential topics such as leveraging proprietary data for strategic advantages, implementing robust fine-tuning frameworks, and overcoming common challenges in model deployment. From refining reasoning capabilities with advanced algorithms to boosting coding competency through targeted training, the book provides actionable insights and step-by-step methodologies. Readers will explore best practices for data collection, ethical considerations in AI deployment, and strategies for scaling LLM applications to meet industry-specific needs. Through real-world case studies and future-focused discussions, the book highlights emerging trends like multi-modal LLMs, real-time monitoring, and AI-driven decision-making. It also addresses key challenges such as data bias, scalability, and regulatory compliance, offering practical solutions for ethical and effective AI implementation. Whether you ' re leading AI initiatives or looking to deepen your expertise in LLMs, Beyond the Basics serves as an indispensable guide to harnessing the transformative power of artificial intelligence in today ’ s competitive landscape.
Fundamentals of Software Architecture
Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks. You’ll explore software architecture in a modern light, taking into account all the innovations of the past decade. This book examines: Architecture patterns: The technical basis for many architectural decisions Components: Identification, coupling, cohesion, partitioning, and granularity Soft skills: Effective team management, meetings, negotiation, presentations, and more Modernity: Engineering practices and operational approaches that have changed radically in the past few years Architecture as an engineering discipline: Repeatable results, metrics, and concrete valuations that add rigor to software architecture
Fluent Python
Author: Luciano Ramalho
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2015-07-30
Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work