滿額折
AI Perplexity Unlocked: Better Models, Better Results
商品資訊
ISBN13：9798283922621
出版社：Independently published
作者：Carlen Royce
出版日：2025/05/14
裝訂：平裝
規格：25.4cm*17.8cm*0.8cm (高/寬/厚)
商品簡介
商品簡介
AI Perplexity Unlocked: Better Models, Better Results
By Calen Royce Unlock the power behind one of AI's most misunderstood metrics - and start building models that truly work. In AI Perplexity Unlocked, Calen Royce breaks down the concept of perplexity into clear, actionable insights. Whether you're a machine learning engineer, data scientist, AI enthusiast, or startup founder, this book will teach you how to optimize your language models, improve search relevance, and generate smarter, more accurate AI systems. Learn why perplexity matters - not just as a measurement, but as a compass for clarity, simplicity, and real-world performance in AI. ✅ What You'll Learn:
What AI perplexity really means (and why most people get it wrong) How to evaluate and fine-tune large language models like GPT, BERT, and LLaMA Practical tools and Python examples for measuring and lowering perplexity Ways perplexity improves search engine ranking and user relevance Real use cases from OpenAI, Google, and beyond Whether you're building a chatbot, training your own transformer model, or just trying to make sense of AI complexity, this guide gives you the tools and understanding to deliver better models - and better results. No fluff. Just clarity, code, and smarter AI.
By Calen Royce Unlock the power behind one of AI's most misunderstood metrics - and start building models that truly work. In AI Perplexity Unlocked, Calen Royce breaks down the concept of perplexity into clear, actionable insights. Whether you're a machine learning engineer, data scientist, AI enthusiast, or startup founder, this book will teach you how to optimize your language models, improve search relevance, and generate smarter, more accurate AI systems. Learn why perplexity matters - not just as a measurement, but as a compass for clarity, simplicity, and real-world performance in AI. ✅ What You'll Learn:
What AI perplexity really means (and why most people get it wrong) How to evaluate and fine-tune large language models like GPT, BERT, and LLaMA Practical tools and Python examples for measuring and lowering perplexity Ways perplexity improves search engine ranking and user relevance Real use cases from OpenAI, Google, and beyond Whether you're building a chatbot, training your own transformer model, or just trying to make sense of AI complexity, this guide gives you the tools and understanding to deliver better models - and better results. No fluff. Just clarity, code, and smarter AI.
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