Showing results by author "Anand" in All Categories

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.”

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

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.

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.

I'm going to be telling you a series of stories designed to last 3000 steps, with music by Merlin D'Souza to keep the pace and stories adapted and narrated by me. These stories are to get your mental and physical health peaking again as we go on a journey together. Let's get out and let's get walking!

Explores the potential of generative AI to revolutionize telecom operations, improve customer service, and optimize network performance. It covers a wide range of use cases, including network optimization, customer service enhancement, fraud detection, content generation, and network planning. Additionally, it discusses the ethical considerations and implementation strategies for successfully adopting generative AI in the telecom sector.

A comprehensive guide to Large Language Model (LLM) engineering, covering fundamental concepts, development practices, deployment strategies, and ethical considerations. The guide starts by introducing LLMs, their history, and various applications, then explores key NLP concepts and the Transformer architecture. The text then delves into LLM training techniques, including data collection, preprocessing, fine-tuning, and performance optimization. It also provides practical examples and hands-on exercises to illustrate various concepts and techniques. The guide further discusses advanced techniq

Explaining LLMs, their evolution, and applications in different industries. The book then dives into data preparation and management, including techniques for collecting, cleaning, and storing large datasets. It then guides the reader through building the model, focusing on model architecture design, training techniques, and hyperparameter tuning. After that, the book examines model evaluation and fine-tuning techniques, including common issues and debugging strategies.

"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.

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.

Ccomprehensive guide to Gemini AI, a new multimodal generative AI framework. The text explains the architecture of Gemini and explores how it can be used for various tasks including text generation, image synthesis, and computer vision. It dives into the use of Gemini in various industries such as healthcare, content creation, and design. The document also explores ethical considerations related to Gemini AI, emphasizing responsible use, bias mitigation, and data security. Finally, the document concludes by discussing future trends in generative AI and how Gemini will play a significant role.

Comprehensive guide to large language models (LLMs), artificial intelligence systems designed to understand and manipulate human language. It covers the history and evolution of LLMs, including key concepts like the Transformer architecture and attention mechanisms. The document then explores popular LLM models, such as GPT-3 and BERT, along with their use cases and applications in various industries, including business, finance, marketing, entertainment, and healthcare. The text further details the training process for LLMs, including data collection, preprocessing, and optimization technique

A comprehensive guide to designing, developing, and deploying large language model (LLM) systems. It covers a wide range of topics, from the fundamentals of LLMs and their architecture to advanced deployment strategies, operationalization techniques, and ethical considerations. The document also includes practical examples, code snippets, and hands-on exercises to help readers implement LLMs in various industries, such as healthcare, finance, and education.

The SPOM Workbook provides step-by-step action plans and exercises based on the revolutionary SPOM! recovery system for excoriation (skin picking) disorder (SPD). This highly interactive accelerated learning workbook takes the guesswork out of trying to figure what your triggers are and encourages you to be proactive in making huge strides in your personal recovery.

Acts as a comprehensive guide to the field of Large Language Model (LLM) training, covering various aspects from the basics of natural language processing (NLP) and LLM architecture to advanced techniques like transfer learning, reinforcement learning, and multi-task learning. The book also addresses practical considerations like data collection, preprocessing, and model evaluation while discussing ethical and privacy implications. Lastly, the text includes hands-on exercises an

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,

What is the secret to happiness? That’s a difficult question to answer. But if you listen to mainstream or social media, you might think it’s money or fame. We idolize celebrities and believe they have a perfect life. But are they really happy? We put so much hope into money and power. But once you have all these things this leaves you empty and thinking...why am I not happy even though I have everything I should want? So, what can we do? Buddhism teaches us that the solutions to our problems are within ourselves, not outside.

Greater Than a Tourist: Aukland New Zealand by Changali Anand offers the inside scoop on Aukland. Most travel books tell you how to travel like a tourist. This audiobook will give you travel tips from someone who has lived at your next travel destination. You will discover advice that will help you throughout your stay. Travel like a local. Slow down, stay in one place, and get to know the people and the culture. By the time you finish this audiobook, you will be eager and prepared to travel to your next destination.

Celebrity rock star Anand Bhatt shares with us the many great recipes, cooking instructions, lifestyle insights, and fun anecdotes that have kept him and his adrenaline-fueled peers amid the good life. His recipes and hints are beneficial for all who care to live a healthy life and look good despite being pressed for time.

HOW DO POLITICIANS IN TODAY'S world attain power? How do nations become powerful? Why do human beings follow others unquestioningly, even if it is to their own detriment? What factors determine which politicians, nations and organizations will dominate the modern world? Through much of human history, societal control was determined by militaristic strength. Individuals and tribes fought to control vital resources and land.