{"product_id":"interpreting-large-language-models-a-guide-to-explainable-ai-techniques-for-transformers-9798280298705","title":"Interpreting Large Language Models: A Guide to Explainable AI Techniques for Transformers","description":"\u003cp\u003e • Author(s): Taylor Royce\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Natural Language Processing\u003c\/p\u003e\u003cp\u003eIt's more important than ever to understand how powerful AI systems think in a world where these systems are becoming more and more prevalent. \u003ci\u003e\u003cb\u003eInterpreting Large Language Models \u003c\/b\u003e\u003c\/i\u003eis your go-to resource for comprehending the \"black box\" that drives contemporary AI, from ChatGPT to BERT and beyond. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eWhether you're a technical leader, data scientist, machine learning engineer, or just interested in the inner workings of language models, this book demystifies transformers' inner workings and demonstrates how to confidently interpret, display, and audit their judgments. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eYou will learn how to: \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eDecode attention maps to see what the model is \"focusing\" on\u003c\/li\u003e\n\u003cli\u003eUse saliency, gradients, and attribution tools like SHAP and LIME to trace the origins of AI decisions\u003c\/li\u003e\n\u003cli\u003eThrough practical examples, visual walkthroughs, and hands-on techniques#Investigate embedding spaces with UMAP and t-SNE to find biases and hidden patterns.\u003c\/li\u003e\n\u003cli\u003eRecognize delusions and unfair results-and create more moral, comprehensible systems\u003c\/li\u003e\n\u003cli\u003eExplainability strategies designed for practical applications can help you get ready for audits, compliance, and regulatory scrutiny.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003ci\u003eBeyond technical schematics, this book explores the \u003cb\u003ephilosophy of explainable AI \u003c\/b\u003ewith clarity and a human-first approach: Why is it necessary? For whom is it intended? And how may it assist us in creating trustworthy AI systems?\u003c\/i\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003ci\u003eInterpreting Large Language Models is your road map to transparency in the AI era if you're prepared to make the transition from blind trust to informed comprehension.\u003c\/i\u003e\u003c\/b\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":45564872851607,"sku":"9798280298705","price":1459.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798280298705.webp?v=1768600675","url":"https:\/\/atlanticbooks.com\/products\/interpreting-large-language-models-a-guide-to-explainable-ai-techniques-for-transformers-9798280298705","provider":"Atlantic Books","version":"1.0","type":"link"}