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{ "item_title" : "Reasoning in LLMs", "item_author" : [" V. L. Muller "], "item_description" : "Volume 30 - Reasoning in LLMs presents a practical and strategic approach to understanding how language models can be used for tasks that require structured reasoning, problem decomposition, planning, comparison, tool use, verification, and well-justified responses. Following the 10-minutes-a-day learning approach, the book shows how to move from immediate answers to more reliable analyses applicable to agents, RAG, coding, mathematics, customer service, management, strategy, and decision-making. The book also highlights limitations, risks, evaluation, observability, and governance, emphasizing that reasoning is not simply about asking a model to think more, but about designing better processes so that AI can produce useful, verifiable responses aligned with real-world contexts.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/819/209/9798192095775_b.jpg", "price_data" : { "retail_price" : "10.00", "online_price" : "10.00", "our_price" : "10.00", "club_price" : "10.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Reasoning in LLMs|V. L. Muller

Reasoning in LLMs : Think better. Structure better. Use language models to solve problems with greater logic, step-by-step structure, and reliability.

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Overview

Volume 30 - Reasoning in LLMs presents a practical and strategic approach to understanding how language models can be used for tasks that require structured reasoning, problem decomposition, planning, comparison, tool use, verification, and well-justified responses. Following the 10-minutes-a-day learning approach, the book shows how to move from immediate answers to more reliable analyses applicable to agents, RAG, coding, mathematics, customer service, management, strategy, and decision-making. The book also highlights limitations, risks, evaluation, observability, and governance, emphasizing that reasoning is not simply about asking a model to think more, but about designing better processes so that AI can produce useful, verifiable responses aligned with real-world contexts.

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Details

  • ISBN-13: 9798192095775
  • ISBN-10: 9798192095775
  • Publisher: Independently Published
  • Publish Date: August 2026
  • Dimensions: 9 x 6 x 0.12 inches
  • Shipping Weight: 0.15 pounds
  • Page Count: 44

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