Other books that might interest you

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  Just Culture - Restoring Trust...

  Sidney Dekker

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  A just culture is a culture of trust, learning and accountability. It is particularly important when an incident has occurred; when something has gone wrong. How do you respond to the people involved? What do you do to minimize the negative impact, and maximize learning? 
  This third edition of Sidney Dekkera (TM)s extremely successful Just Culture offers new material on restorative justice and ideas about why your people may be breaking rules. Supported by extensive case material, you will learn about safety reporting and honest disclosure, about retributive just culture and about the criminalization of human error. 
  Some suspect a just culture means letting people off the hook. Yet they believe they need to remain able to hold people accountable for undesirable performance. In this new edition, Dekker asks you to look at 'accountability' in different ways. One is by asking which rule was broken, who did it, whether that behavior crossed some line, and what the appropriate consequences should be. In this retributive sense, an 'account' is something you get people to pay, or settle. But who will draw that line? And is the process fair? 
  Another way to approach accountability after an incident is to ask who was hurt. To ask what their needs are. And to explore whose obligation it is to meet those needs. People involved in causing the incident may well want to participate in meeting those needs. In this restorative sense, an 'account' is something you get people to tell, and others to listen to. 
  Learn to look at accountability in different ways and your impact on restoring trust, learning and a sense of humanity in your organization could be enormous.

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  Building Your Own Large Language...

  Et Tu Code

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  Building Your Own Large Language Model: A Step-by-Step Guide is your comprehensive roadmap to crafting custom language models tailored to diverse applications. 
  From laying the groundwork in Language Model Development Fundamentals to navigating through Essential NLP Concepts and Framework Selection, each step is meticulously detailed to ensure mastery. You'll learn the art of Data Collection and Preprocessing, crucial for gathering and refining training data, followed by the craft of Scalable Model Architecture Design. Training and Fine-Tuning Strategies guide you through efficiently honing your model's capabilities, while Performance Evaluation and Validation ensure accuracy. Model Deployment integrates your creation seamlessly into real-world applications like chatbots or language translation tools, while Task-Specific Fine-Tuning customizes it for sentiment analysis or text summarization. Ethical Considerations address biases and ethical concerns, while Performance Optimization techniques enhance efficiency. Through Exploration of Large Language Models, you'll grasp the landscape's nuances, preparing for Application Integration and Scaling with Distributed Training. Continuous Improvement methodologies, coupled with a focus on Interpretability and a glimpse into Future Trends, equip you for ongoing success. Real-world Case Studies provide practical insights, and Community Engagement fosters collaboration. 
  Concluding with key takeaways and recommendations, this guide propels you into the dynamic realm of large language model development with confidence and clarity. 🚀

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  Birds - The Complete Handbook...

  Angie Tracks

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  Selecting the right bird and creating a comfortable living environment are crucial first steps in ensuring a happy and healthy life for your feathered companion. The process begins with understanding your own lifestyle and preferences, as this will help you choose a bird species that aligns with your needs. Birds vary widely in size, temperament, and care requirements. For example, small species like canaries and finches are low-maintenance and ideal for beginners, while parrots and cockatoos demand more attention and interaction due to their intelligence and social nature. 
  Once you’ve chosen your bird, setting up an appropriate home is the next essential step. A well-chosen cage serves as both a sanctuary and a playground for your bird, so it’s important to select one that suits its size and activity level. Smaller birds require less space but still benefit from a cage that allows for free movement, while larger species need ample room to stretch their wings and explore. The spacing between the bars should be appropriate for your bird’s size to ensure safety and prevent escapes. 
  Inside the cage, include essentials that will keep your bird comfortable and stimulated. Perches of varying diameters are necessary for maintaining foot health and simulating a natural environment. Food and water dishes should be easily accessible and kept clean at all times. Additionally, toys such as swings, bells, and chewable items are vital for mental stimulation and preventing boredom. Birds are intelligent and curious creatures, so rotating toys periodically will keep them engaged.

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  Engineering - Aviation Aerospace...

  Phil Gilberts

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  This is a gigantic bundle of books that features the following titles: 
  Aeronautical Management 
  Aerospace Engineering 
  Biomedical Engineering 
  Chemical Engineering 
  Civil Engineering 
  Construction 
  Data Engineering 
  Electrical Engineering 
  Environmental Engineering 
  Industrial Designs 
  Informatics 
  Information Technology 
  Mechanical Engineering 
  Software Engineering 
  Wordpress

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  Large Language Model-Based...

  Shreyas Subramanian

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  In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning. 
   
   
   
  The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: 
   
   
   
  ● Effective strategies to address the challenge of the high computational cost associated with LLMs 
   
   
   
  ● Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques 
   
   
   
  ● Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models

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  Pretty Wings

  Candi Usher

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  Walk with me into the world of Black women and the taboo side is mental health. This book is a dive into my personal issues with suicide attempts and ideations, as well as a discussion on studies done and lack of them in relation to suicide in the Black community. Black women are expected to always be strong. Never have a problem that she can't solve. What a lot of people don't see is behind that bright smile, that strong and determined look, are the eyes without life. The body that's stiff because of stress and carrying the weight of life, often alone. Something has to be done. Help me awareness about the need for better mental health care in the Black community.  

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