{"product_id":"generative-ai-with-python","title":"Generative AI with Python","description":"\u003cp\u003eYour guide to generative AI with Python is here! Start with an introduction to generative AI, NLP models, LLMs, and LMMs—and then dive into pretrained models with Hugging Face. Work with LLMs using Python with the help of tools like OpenAI and LangChain. Get step-by-step instructions for working with vector databases and using retrieval-augmented generation. With information on agentic systems and AI application deployment, this guide gives you all you need to become an AI master!\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWork with pretrained LLM and NLP models on Hugging Face and LangChain\u003c\/li\u003e\n\u003cli\u003eCreate vector databases and implement retrieval-augmented generation\u003c\/li\u003e\n\u003cli\u003eAdd an agentic system using frameworks such as CrewAI and AG2\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 21px; font-weight: 700;\"\u003eIn this book, you'll learn about:\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLarge Language Models\u003c\/b\u003e Set up LLMs and then learn how to apply your models using Python. Walk through the available tools: OpenAI, Meta’s Llama model family, Mistral models via Groq, and open-source LLMs. Work with prompt templates, chains, and more.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVector Databases\u003c\/b\u003e Create and use vector databases to store and query large collections of documents. Master all aspects of the pipeline, from importing a raw document, to processing it, to storing it in a vector database.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRetrieval Augmented Generation\u003c\/b\u003e Leverage large-scale pretrained language models and external knowledge sources with retrieval-augmented generation. Retrieve relevant information from large corpora, integrate it into the generation process, and evaluate the quality and diversity of the generated texts.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAgentic Systems\u003c\/b\u003e Use AI models to build agents that act autonomously to achieve their goals. Discover the different Python packages for this task: crewAI, AutoGen, and LangChain.\u003c\/p\u003e\u003ch5\u003eHighlights include:\u003c\/h5\u003e\u003cul\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eNatural language processing (NLP) models\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eLarge language models (LLMs)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003ePretrained models\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003ePrompt engineering\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eVector databases\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eRetrieval-augmented generation (RAG)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eAgentic systems\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eOpenAI\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eLangChain\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eHugging Face\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003ecrewAI\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eAutoGen\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAbout the Author\u003c\/h3\u003e\u003cp\u003eBert Gollnick is a senior data scientist who specializes in renewable energies. For many years, he has taught courses about data science and machine learning, and more recently, about generative AI and natural language processing. Bert studied aeronautics at the Technical University of Berlin and economics at the University of Hagen. His main areas of interest are machine learning and data science.\u003c\/p\u003e","brand":"Shroff\/Rheinwerk Computing","offers":[{"title":"Paperback","offer_id":50506415374406,"sku":"9789355428592","price":1400.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506415407174,"sku":"9781493226917","price":5362.0,"currency_code":"INR","in_stock":true},{"title":"Combo","offer_id":50506415439942,"sku":"9781493226924","price":6824.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789355428592__1.jpg?v=1790329415","url":"https:\/\/cb-india.com\/products\/generative-ai-with-python","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}