{ "item_title" : "Multimodal AI - Text, Image & Audio", "item_author" : [" Teli Publications", "Shivam K. Teli", "Sankalp Gupta "], "item_description" : "Build AI systems that can see, hear, and understand.Modern AI is no longer limited to text. Multimodal systems can analyze images, process speech, connect visual information with language, and combine different inputs to solve real-world problems. But building these systems requires more than calling an API, you need to understand the models, data pipelines, evaluation methods, and deployment decisions behind them.Multimodal AI: Text, Image & Audio is a hands-on guide to developing practical multimodal applications with Python, pretrained models, and modern AI APIs.Whether you're an AI/ML engineer, Python developer, computer science student, or technical professional expanding into multimodal systems, this book takes you from foundational concepts to working projects.Inside, you'll learn how to: Work with image data using Python, PIL, NumPy, OpenCV, and PyTorch preprocessing pipelines.Process audio signals and build speech recognition and text-to-speech workflows.Use Vision Transformers (ViTs), Whisper, CLIP, and BLIP for image and audio tasks.Build applications with multimodal large language models and vision-language APIs.Connect text, images, and audio through structured multimodal pipelines.Develop retrieval-augmented generation (RAG) workflows for multimodal data.Deploy multimodal APIs, handle file uploads, and manage inference costs.Evaluate system quality, measure performance, and monitor multimodal outputs.Move from concepts to complete projects.The book includes practical implementations for visual question answering on product images, podcast transcription and summarization, and a multimodal assistant that accepts text, image, and audio inputs. The projects help connect individual techniques into systems you can test, adapt, and extend.You will also explore the engineering decisions involved in preprocessing, model selection, pipeline design, evaluation, and deployment skills that matter when moving beyond isolated demonstrations toward useful applications.Who is this book for?Python developers moving into AI application developmentMachine learning and computer vision practitionersStudents building practical AI engineering skillsDevelopers exploring speech, vision-language models, and multimodal LLMsTechnical professionals prototyping AI-powered productsA working familiarity with Python will help you get the most from the code examples.Multimodal AI is reshaping how software interprets information. Learn the building blocks, work through practical implementations, and start building systems that combine what machines can read, see, and hear.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/816/608/9798166084668_b.jpg", "price_data" : { "retail_price" : "24.99", "online_price" : "24.99", "our_price" : "24.99", "club_price" : "24.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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