検索キーワード： 著者 "Anand" すべてのカテゴリー

Generative AI Evaluation: Metrics, Methods, and Best Practices" is a comprehensive resource aimed at evaluating generative AI models used in applications like text generation, image synthesis, and creative content production. It begins by explaining the unique challenges of assessing generative models, such as balancing creativity, coherence, and diversity in outputs, while avoiding mode collapse or repetitive patterns.

Generative AI for Customer Experience: From Basics to Advanced Applications" offers a comprehensive guide to leveraging generative AI to transform customer interactions and experiences. Starting with the fundamentals of generative AI, the book explains how machine learning models like GPT, BERT, and others can be applied to enhance customer service, personalization, and engagement. It covers practical examples of chatbots, virtual assistants, content generation, and dynamic product recommendations, illustrating how businesses can use these technologies to drive customer satisfaction

Hey listeners!! This is Ayushmaan Anand 🎶

Comprehensive guide to understanding and applying diffusion models in artificial intelligence. The document first explores the fundamental concepts behind diffusion models, including the addition and removal of noise. It then delves into the various architectures and techniques used in diffusion models, emphasizing their effectiveness in generating realistic images. The document also discusses the growing applications of diffusion models, extending beyond image generation to areas such as text, audio, 3D structures, and more.

Explaining the fundamentals of LLMs, generative AI, and healthcare data before exploring numerous real-world applications including personalized treatment recommendations, predictive diagnostics, and virtual health assistants. It then delves into the practical aspects of implementing these technologies, covering topics like data management, model training, ethical considerations, and case studies. Finally, it explores future trends in AI-powered healthcare and provides hands-on tutorials and exercises for readers to gain practical experience.

Comprehensive guide to Large Language Models (LLMs). The document provides a detailed overview of LLMs, including their history, architecture, key examples, training methods, and applications. The guide also explores ethical considerations, practical implementation strategies, and the potential future of LLMs in various domains. The text covers topics such as fine-tuning for specific tasks, integrating LLMs into applications using APIs, and building real-world projects utilizing LLMs.

Explores the use of generative AI for enhancing Environmental, Social, and Governance (ESG) reporting practices. The document outlines various applications of generative AI across different aspects of ESG reporting, including data collection, analysis, risk assessment, and report generation. It also discusses the benefits and challenges of integrating AI into ESG reporting, emphasizing the importance of responsible implementation and ethical considerations, including mitigating bias and ensuring transparency

Defining generative AI and explaining its various applications, including text generation, image synthesis, music creation, and code generation. The book then outlines the SDLC phases, including planning, requirements gathering, design, implementation, testing, deployment, and maintenance, and explores how generative AI can be utilized within each phase to improve efficiency, accuracy, and quality. The author also discusses ethical, legal, and future considerations for integrating AI into software development, offering industry case studies and practical examples to illustrate its real-world

The transformative role of generative AI in academia, focusing on its impact on both research and teaching. It offers educators, researchers, and academic leaders practical insights into how AI-generated content, models, and simulations can enhance educational practices and revolutionize research methodologies. The book delves into case studies of AI-driven advancements across disciplines, such as humanities, social sciences, and STEM fields, providing real-world applications for curriculum development, student engagement, and knowledge discovery. It also addresses the ethical considerations.

Concepts like the evolution of language models, neural network architectures, and transformer mechanisms. It also explores popular LLMs like GPT-3 and BERT, delves into the intricacies of training LLMs, and discusses advanced techniques like prompt engineering, few-shot learning, and multimodal capabilities. The text concludes with practical applications across various industries, real-world implementations, and future trends for LLMs.

he historical background of LLMs, key concepts, and various applications, such as text generation, conversational AI, and sentiment analysis. It also dives into practical considerations, including ethical considerations, model architecture, data preparation, training techniques, and deployment strategies. The document further explores advanced topics like model compression, transfer learning, and integrating LLMs with other technologies. The final chapters present case studies demonstrating real-world applications of LLMs in various industries, such as customer support, financial forecasting,

A comprehensive guide for organizations to achieve and maintain net zero greenhouse gas emissions. The standard establishes a framework with principles, requirements, and guidelines to plan, implement, monitor, and continuously improve a NetZero Management System. It outlines critical aspects like leadership commitment, risk management, lifecycle perspective, and stakeholder engagement. The document also explores strategies for achieving net zero emissions, including energy efficiency measures, renewable energy integration, carbon offset projects, and circular economy practices.

Generative AI Infrastructure: Scaling and Performance Optimization" is an in-depth exploration of the technical foundations needed to deploy and scale generative AI models efficiently. The book covers the essential components of AI infrastructure, from choosing the right hardware and cloud platforms to optimizing training and inference workloads for performance. Readers will learn about distributed training techniques, GPU/TPU utilization, model compression, and techniques for reducing latency in real-time applications.

Rimjhim, a foodie decides to cope up from her break up by binge eating and she orders from a food app called Grub Station. Her order gets late and she complains on the chat messenger. The replies she got were so warm and empathetic that she falls in love with the person on the other side. Not realising if there is a real person on the other side or an AI.

Veena has been living a monotonous life, until one day when by mistakes she receives a shirt in her laundry pile which isn't hers. The shirt smells of the man she loved. This is Veena's last chance to find him and find happiness.

Priya is home alone and she receives a call, on the other side is guy who is kidnapped and locked in a house for days without food and water. Priya tries to help but fails, she becomes his only support till the end. They share something very special

Sunder a cool gangster, who never misses his target, falls in love with a girl while executing an assassination job. He falls so bad that he crosses all the limits for his love. Love actually becomes a primal necessity for him to live. Exploring the influence that the love drug has on the protagonist, the narrative takes you through a journey that will make you question the boundaries that you float in the name of love. The world may see you as crazy, but is it even love if it's not crazy enough.

Sonam was kept away from color RED since the time she was born, because of a prophecy by a godman. But as she hit puberty she couldn't keep herself away from the color of love. And fall in love with the first man she encounters when she wore red. This story is about the fierce nature of first love.

Gurri, a super-rich haryanvi boy, joins a call centre to learn the English language as he wants to impress his girlfriend. Amrita, a married woman agrees to teach him in return if he'd teach him Haryanvi. They meet to learn the languages but make a beautiful connect with each other, where they do not need words to communicate with each other.

Shriya and Shubham, meet on a rooftop for the first time. Two very different and contradicting people, but with the only thing common between them being that they were there to commit suicide. Sometimes one doesn't need air, water, or other basics to be live. All one needs is a person who loves you and give you the comfort to be alive.