{"id":266638,"date":"2026-07-22T17:12:21","date_gmt":"2026-07-22T14:12:21","guid":{"rendered":"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/"},"modified":"2026-07-22T17:12:21","modified_gmt":"2026-07-22T14:12:21","slug":"large-language-model-recipes-pdf-bharath-kumar-bolla","status":"publish","type":"post","link":"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/","title":{"rendered":"Large Language Model Recipes PDF &#8211; Bharath Kumar Bolla"},"content":{"rendered":"<div style=\"text-align:center; margin-bottom:30px;\">\n    <img decoding=\"async\" src=\"https:\/\/1kitap1.com\/en\/wp-content\/uploads\/2026\/07\/temp_Large_Language_Model_Recipes_-_Bharath_Kumar_Bolla-1kitap1.com_.jpg\" alt=\"Large Language Model Recipes PDF Download\" style=\"max-width:300px; height:auto; border-radius:10px; box-shadow:0 10px 30px rgba(0,0,0,0.1);\" \/>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Large_Language_Model_Recipes_Book_Summary_Review\" >Large Language Model Recipes Book Summary &#038; Review<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Quick_Summary\" >Quick Summary<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Book_Topic_and_Premise\" >Book Topic and Premise<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Detailed_Plot_Summary\" >Detailed Plot &#038; Summary<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Critical_Review_and_Analysis\" >Critical Review and Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Main_Themes_Motifs\" >Main Themes &#038; Motifs<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Who_Should_Read_This_Book\" >Who Should Read This Book?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Why_You_Should_Read_It\" >Why You Should Read It<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Key_Takeaways_What_You_Will_Learn\" >Key Takeaways &#038; What You Will Learn<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Technical_Bibliographic_Details\" >Technical &#038; Bibliographic Details<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#Frequently_Asked_Questions_FAQ\" >Frequently Asked Questions (FAQ)<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/1kitap1.com\/en\/large-language-model-recipes-pdf-bharath-kumar-bolla\/#PDF_Download_Section\" >PDF Download Section<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Large_Language_Model_Recipes_Book_Summary_Review\"><\/span>Large Language Model Recipes Book Summary &#038; Review<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Quick_Summary\"><\/span>Quick Summary<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><em>A practical cookbook containing Python recipes for fine-tuning, deploying, and building applications with LLMs.<\/em><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Book_Topic_and_Premise\"><\/span>Book Topic and Premise<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Navigating the rapidly shifting landscape of artificial intelligence requires practical, reproducible code patterns. In Large Language Model Recipes, AI practitioner Bharath Kumar Bolla delivers a hands-on technical cookbook designed for developers and data scientists. The book focuses on real-world engineering solutions rather than purely theoretical machine learning concepts.<\/p>\n<p>From fine-tuning open-source models like Llama with PEFT and LoRA to architecting robust Retrieval-Augmented Generation (RAG) pipelines using LangChain and vector databases, Bolla covers the end-to-end LLM lifecycle. Engineers reading this PDF version will find clean Python implementations for prompt optimization, guardrails, model quantization, and API integration. Each recipe clearly outlines the problem, technical implementation, and architectural considerations.<\/p>\n<p>This guide serves as a practical blueprint for deploying scalable AI applications. Bolla addresses common production hurdles such as reducing latency, managing API costs, and evaluating model outputs objectively. Anyone who takes the time to read Large Language Model Recipes will gain immediate, applicable skills for building modern AI applications.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Detailed_Plot_Summary\"><\/span>Detailed Plot &#038; Summary<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Bharath Kumar Bolla provides actionable, code-first solutions for working with Large Language Models. Covering RAG architectures, prompt engineering, LoRA fine-tuning, vector databases, and model deployment, this guide equips developers to build real-world AI software.<\/p>\n<div style=\"background-color:#fff3cd; padding:15px; border-left:4px solid #ffc107; margin:20px 0; border-radius:4px;\"><strong>\u270d\ufe0f Editor&#8217;s Note:<\/strong> A must-have developer guide for engineers building production-ready RAG applications and LLM workflows.<\/div>\n<h3><span class=\"ez-toc-section\" id=\"Critical_Review_and_Analysis\"><\/span>Critical Review and Analysis<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>An exceptionally practical resource for AI developers. Bolla skips unnecessary fluff to deliver clean, runnable Python code examples. Keep in mind that rapid LLM library updates mean some dependencies require checking latest documentation.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Main_Themes_Motifs\"><\/span>Main Themes &#038; Motifs<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>LLM Fine-Tuning<\/li>\n<li>RAG Systems<\/li>\n<li>Prompt Engineering<\/li>\n<li>AI Application Deployment<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Who_Should_Read_This_Book\"><\/span>Who Should Read This Book?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Python developers, machine learning engineers, data scientists, and software architects building AI-powered applications.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Why_You_Should_Read_It\"><\/span>Why You Should Read It<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>It supplies copy-paste ready Python recipes for building, optimizing, and deploying production-grade LLM systems.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Key_Takeaways_What_You_Will_Learn\"><\/span>Key Takeaways &#038; What You Will Learn<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>How to set up RAG pipelines, fine-tune open-source models with LoRA, utilize vector databases, and implement guardrails.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Technical_Bibliographic_Details\"><\/span>Technical &#038; Bibliographic Details<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<table style=\"width:100%; border-collapse: collapse; margin-bottom: 20px;\">\n<tr>\n<td style=\"width:30%;\"><strong>\ud83d\udcd6 Title:<\/strong><\/td>\n<td>Large Language Model Recipes<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udd0d Original Title:<\/strong><\/td>\n<td>Large Language Model Recipes<\/td>\n<\/tr>\n<tr>\n<td><strong>\u270d\ufe0f Author:<\/strong><\/td>\n<td>Bharath Kumar Bolla<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83c\udfe2 Publisher:<\/strong><\/td>\n<td>Packt Publishing<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcc5 Publication Year:<\/strong><\/td>\n<td>2024<\/td>\n<\/tr>\n<tr>\n<td><strong>\u23f3 First Published:<\/strong><\/td>\n<td>2024<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udd22 ISBN:<\/strong><\/td>\n<td>9781835088234<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udce6 Amazon ASIN:<\/strong><\/td>\n<td>1835088231<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcc4 Total Pages:<\/strong><\/td>\n<td>340<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcc1 Category:<\/strong><\/td>\n<td><a href=\"https:\/\/1kitap1.com\/en\/category\/computer-science\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">Computer Science<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/category\/artificial-intelligence\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">Artificial Intelligence<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/category\/packt-publishing\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">Packt Publishing<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/category\/english\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">English<\/a><\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83c\udf0d Language:<\/strong><\/td>\n<td>English<\/td>\n<\/tr>\n<tr>\n<td><strong>\u2b50 Goodreads Rating:<\/strong><\/td>\n<td>4.35 \/ 5.0 (42 votes)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u23f1\ufe0f Reading Time:<\/strong><\/td>\n<td>8-10 hours (hands-on code execution)<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcca Difficulty Level:<\/strong><\/td>\n<td>Hard (Technical\/Coding)<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcda Similar Books:<\/strong><\/td>\n<td><a href=\"https:\/\/1kitap1.com\/en\/?s=Building%20LLM%20Powered%20Applications%20by%20Valentina%20Alto\" style=\"color:#0088cc; text-decoration:none;\">Building LLM Powered Applications by Valentina Alto<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/?s=Natural%20Language%20Processing%20with%20Transformers%20by%20Lewis%20et%20al.\" style=\"color:#0088cc; text-decoration:none;\">Natural Language Processing with Transformers by Lewis et al.<\/a><\/td>\n<\/tr>\n<\/table>\n<h3><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions_FAQ\"><\/span>Frequently Asked Questions (FAQ)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 What programming language is used in Large Language Model Recipes?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">All code examples and recipes in the book are written in Python utilizing popular AI libraries.<\/p>\n<\/div>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 Does the book cover Retrieval-Augmented Generation (RAG)?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">Yes, several detailed recipes cover building, evaluating, and optimizing RAG pipelines using vector storage.<\/p>\n<\/div>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 Is prior machine learning knowledge required to follow this book?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">A solid background in Python programming and basic machine learning concepts is recommended to get maximum value.<\/p>\n<\/div>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 Does Bharath Kumar Bolla discuss fine-tuning open-source LLMs?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">Yes, recipes include parameter-efficient fine-tuning techniques such as LoRA and QLoRA on custom datasets.<\/p>\n<\/div>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 Are the PDF code snippets easy to copy and run locally?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">Yes, code blocks are formatted for easy copy-pasting into Jupyter Notebooks or Python IDE environments.<\/p>\n<\/div>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 Does the book address model security and guardrails?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">Yes, recipes cover prompt injection defense, output filtering, and implementing guardrails for safe AI deployment.<\/p>\n<\/div>\n<div style=\"margin: 20px 0; padding: 15px; background-color: #f8f9fa; border-left: 4px solid #0088cc; border-radius: 4px;\">\n    <strong>\ud83d\udcda Recommended Category:<\/strong> Explore more in our <a href=\"https:\/\/1kitap1.com\/en\/category\/computer-science\/\" style=\"color:#0088cc; font-weight:bold; text-decoration:none;\">Computer Science<\/a> hub.\n<\/div>\n<h4><span class=\"ez-toc-section\" id=\"PDF_Download_Section\"><\/span>PDF Download Section<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<div class=\"wp-block-buttons is-content-justification-center\" style=\"margin: 20px 0 40px 0;\">\n<div class=\"wp-block-button is-style-fill\">\n        <a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/1kitap1.com\/en\/wp-content\/uploads\/2026\/07\/Large_Language_Model_Recipes_-_Bharath_Kumar_Bolla-1kitap1.com_.pdf\" target=\"_blank\" rel=\"noopener\" style=\"padding: 20px 40px; font-size: 20px; font-weight: bold; color: #ffffff; background-color: #0088cc; border-radius: 5px; text-decoration: none; display: inline-block;\"><br \/>\n            \ud83d\udce5 Download Large Language Model Recipes PDF (12.4 MB)<br \/>\n        <\/a>\n    <\/div>\n<\/div>\n<p><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"Book\", \"name\": \"Large Language Model Recipes\", \"author\": {\"@type\": \"Person\", \"name\": \"Bharath Kumar Bolla\"}, \"description\": \"Large Language Model Recipes by Bharath Kumar Bolla PDF offers hands-on code recipes for building and fine-tuning AI LLM applications.\", \"image\": \"https:\/\/1kitap1.com\/en\/wp-content\/uploads\/2026\/07\/temp_Large_Language_Model_Recipes_-_Bharath_Kumar_Bolla-1kitap1.com_.jpg\", \"genre\": [\"Computer Science\", \"Artificial Intelligence\", \"Programming\", \"Packt Publishing\", \"English\"], \"inLanguage\": \"English\", \"isbn\": \"9781835088234\", \"numberOfPages\": 340, \"publisher\": {\"@type\": \"Organization\", \"name\": \"Packt Publishing\"}, \"aggregateRating\": {\"@type\": \"AggregateRating\", \"ratingValue\": \"4.35\", \"bestRating\": \"5\", \"worstRating\": \"1\", \"ratingCount\": \"42\"}}<\/script><\/p>\n<p><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"What programming language is used in Large Language Model Recipes?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"All code examples and recipes in the book are written in Python utilizing popular AI libraries.\"}}, {\"@type\": \"Question\", \"name\": \"Does the book cover Retrieval-Augmented Generation (RAG)?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes, several detailed recipes cover building, evaluating, and optimizing RAG pipelines using vector storage.\"}}, {\"@type\": \"Question\", \"name\": \"Is prior machine learning knowledge required to follow this book?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"A solid background in Python programming and basic machine learning concepts is recommended to get maximum value.\"}}, {\"@type\": \"Question\", \"name\": \"Does Bharath Kumar Bolla discuss fine-tuning open-source LLMs?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes, recipes include parameter-efficient fine-tuning techniques such as LoRA and QLoRA on custom datasets.\"}}, {\"@type\": \"Question\", \"name\": \"Are the PDF code snippets easy to copy and run locally?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes, code blocks are formatted for easy copy-pasting into Jupyter Notebooks or Python IDE environments.\"}}, {\"@type\": \"Question\", \"name\": \"Does the book address model security and guardrails?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes, recipes cover prompt injection defense, output filtering, and implementing guardrails for safe AI deployment.\"}}]}<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Large Language Model Recipes Book Summary &#038; Review Quick Summary A practical cookbook containing Python recipes for fine-tuning, deploying, and building applications with LLMs. Book Topic and Premise Navigating the rapidly shifting landscape of artificial intelligence requires practical, reproducible code patterns. In Large Language Model Recipes, AI practitioner Bharath Kumar Bolla delivers a hands-on technical [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":266637,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[889,846,8,54509],"tags":[54510],"class_list":["post-266638","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-computer-science","category-english","category-packt-publishing","tag-bharath-kumar-bolla"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/posts\/266638","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/comments?post=266638"}],"version-history":[{"count":0,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/posts\/266638\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/media\/266637"}],"wp:attachment":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/media?parent=266638"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/categories?post=266638"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/tags?post=266638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}