Mostrando resultados por autor "Anand" en Todas las categorías

Anyone who has practiced Yoga has felt the joy and peace that can come from the discipline, yet as any passionate Yoga Instructor will tell you, the yoga is not complete without the spiritual and ethical disciplines to guide you.

Considerando lo stato delle cose, oggi come all’epoca del Buddha, viene spontanea una domanda: esiste qualcosa, potente come un diamante, in grado di recidere ogni illusione? Qualcosa che ci liberi dall’abituale meccanismo di inibizione che impedisce di partecipare alla fluida armonia della vita? Il discorso del Buddha, tramandato nei secoli come “Il sutra del diamante” sembra contenere questa potenzialità.

Based on knowledge from the world's leading experts and from my personal experience, I have mentioned 50 essential points that every bike rider should know. You'll discover the essential 50 points about riding a bike. This book will help you to expand your knowledge about riding a bike safely, smoothly, and effectively.

Ayurvedic is more than a diet, it's a complete medical system for healing the body. From weight loss to mental focus and emotional stability, Ayurvedic is an eating plan determined by body type. Rules such as savoring meals, eating when hungry and being careful when combing foods is sage wisdom whether you're dieting or not. But Ayurvedic takes it a step further. By adding tastes to our diets, we can drastically improve our health.

Generative artificial intelligence (AI), focusing on its implementation using the C++ programming language. The text covers fundamental concepts, techniques, and practical applications of generative models, such as Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs). The sources also explain how to build neural networks, train deep learning models, and perform tasks related to natural language processing (NLP), such as text preprocessing and word embeddings.

Anita Anand tells the remarkable story of one Indian's 20-year quest for revenge, taking him around the world in search of those he held responsible for the Amritsar massacre of 1919, which cost the lives of hundreds. When Sir Michael O'Dwyer, the lieutenant governor of Punjab, ordered brigadier general Reginald Dyer to Amritsar, he wanted him to bring the troublesome city to heel. Sir Michael had become increasingly alarmed at the effect Gandhi was having on his province as well as recent demonstrations, strikes and shows of Hindu-Muslim unity.

The lifeblood of any free society is persuasion: changing other people's minds to enable real change. But America is suffering a crisis of faith in persuasion that is putting its democracy and the planet itself at risk. People increasingly write each other off instead of seeking to win each other over. In The Persuaders best-selling author Anand Giridharadas takes us inside these movements and battles, seeking out the dissenters who continue to champion persuasion in an age of polarisation.

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.

Overview of how to understand, train, and deploy large language models (LLMs), powerful AI systems capable of processing and generating human-like text. The guide begins by defining LLMs and their key concepts, then covers setting up an environment, collecting and preparing training data, selecting appropriate LLM architectures, and training the model itself. Further chapters explore how to fine-tune pre-trained LLMs for specific tasks, deploy these models for real-world applications, and evaluate their performance using various metrics

The ISO/IEC 23894:2023 standard is a guide for organizations to manage the risks associated with artificial intelligence systems. The standard provides a framework for identifying, assessing, and mitigating risks throughout the AI system lifecycle. It covers a wide range of topics, including data quality, algorithmic transparency, bias mitigation, ethical oversight, adversarial resilience, and governance

Do you often feel stressed, overwhelmed, or anxious? Would you like to increase your well-being and happiness? If so, then Buddhism could be the answer. Even if you’ve tried meditation or mindfulness before only to find you just cannot do it. In fact, it’s easier than you think. The Department of Psychology at California University has concluded that Buddhism is a powerful way to deal with life events. Research over the past two decades broadly supports the claim that Buddhism practiced widely exerts beneficial effects on physical and mental health.

Explaining the fundamentals of both technologies, including concepts like generative models, quantum mechanics, and quantum algorithms. The document then explores how quantum computing can be used to enhance generative AI, focusing on areas like quantum machine learning and the development of quantum generative models. It further discusses the practical implications of these technologies, such as accelerating drug discovery, optimizing supply chains, and enhancing creative content generation

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.

The story of the Tiger and the Strawberry has been told over and over by many Buddhists and Hindus. However, it doesn't mean what most think it does. Hint: It has nothing to do with enjoying the present moment, or any such Eckhart Tolle style pop-culture-isms - learn the real lesson and meaning behind this amazing story.

In his first nonfiction work, Anand Neelakantan, the national best-selling author of Asura: Tale of the Vanquished, explores a contrarian way of living that makes more sense in this Kali Yuga.

Baali and Sugreeva of the Vana Nara tribe were orphan brothers who were born in abject poverty and grew up as slaves like most of their fellow tribesmen. They were often mocked as the vanaras, the monkey men. Sandwiched between the never-ending war between the Deva tribes in the north and the Asura tribes in the south, the Vana Naras seemed to have lost all hope. But Baali was determined not to die a slave. Aided by his beloved brother, Sugreeva, Baali built a country for his people.

How to use large language models (LLMs) for enterprise applications. The text covers the basics of LLM technology, setting up an LLM environment, building LLM-powered applications, and integrating LLMs with existing systems. The book also discusses ethical and responsible AI with LLMs, evaluating LLM performance, and case studies of successful LLM implementations in diverse fields like healthcare, finance, and retail. Finally, the excerpt explores emerging trends and technologies in LLM development, including multimodal models, smaller and more efficient models, and adaptive models.

Meditation is a simple practice available to all. Research over the past two decades concludes that mindfulness meditation exerts beneficial effects on physical and mental health as well as cognitive performance. This means you can reduce stress and increase calmness, clarity, and happiness. Billionaire hedge fund manager Ray Dalio was quoted as saying, “Meditation, more than anything in my life, was the biggest ingredient of whatever success I’ve had.”

"LLM Evaluation: Comprehensive Insights and Practical Approaches" is a detailed guide focused on assessing the performance of large language models (LLMs). The book covers both foundational concepts and advanced techniques for evaluating LLMs across a variety of use cases, such as text generation, translation, summarization, and question-answering. It begins by explaining the significance of evaluation metrics like accuracy, precision, recall, and F1 score, while diving into more LLM-specific benchmarks, including perplexity and BLEU scores.

Vector Databases for Generative AI Applications" provides a comprehensive overview of how vector databases empower generative AI applications. It begins by explaining the core concepts of vector embeddings and vector databases, highlighting their advantages over traditional databases for storing and retrieving data based on similarity. The document then details the process of designing and implementing a vector database workflow, including data preprocessing, database selection, and integration with generative AI models. The document also discusses various applications of vector databases in t