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Mike Taylor – author , James Phoenix – author

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. Learn how to empower AI to work for you. This book explains: The structure of the interaction chain of your program's AI model and the fine-grained steps in between How AI model requests arise from transforming the application problem into a document completion problem in the model training domain The influence of LLM and diffusion model architecture—and how to best interact with it How these principles apply in practice in the domains of natural language processing, text and image generation, and code

data ai-ml artificial-intelligence-ai generative-ai prompt-engineering AI/ML GenAI LLM NLP
O'Reilly Data Engineering Books

Our friends from Juxt are presenting the following webinar:

Title: Bitemporality and the Art of Maintaining Accurate Databases Speaker: Jeremy Taylor & James Handerson

This is an online event hosted on GoToWebinar — in order to attend it, please register via this link (and not by clicking "attend"): https://attendee.gotowebinar.com/register/2960607012900067930?source=lnd-clojurians-meetup

Recently, various industry luminaries — including Kent Beck, Martin Fowler, Ben Stopford, and Kris Jenkins — have been talking about bitemporality.

But what does bitemporality really mean for you, your team, and your business? How might it impact your work over the next 12 months?

In my upcoming webinar, I will attempt to demystify bitemporality — join me to discover the most common use cases for bitemporal modeling, and learn how it impacts application design and maintenance.

Key takeaways:

  • Familiarize yourself with the SQL:2011 standard temporal features
  • Understand the landscape of existing approaches and tools for implementing bitemporality to ensure successful projects
  • Discover how you can visualize your own bitemporal data using an open source interactive tool
  • Live Q&A with the audience

Register here: https://attendee.gotowebinar.com/register/2960607012900067930?source=lnd-clojurians-meetup

Bitemporality and the Art of Maintaining Accurate Databases
Neil Raden – author , James Taylor – author

“Automated decisions systems are probably already being used in your industry, and they will undoubtedly grow in importance. If your business needs to make quick, accurate decisions on an industrialized scale, you need to read this book.” Thomas H. Davenport, Professor, Babson College, Author of Competing on Analytics The computer-based systems most organizations rely on to support their businesses are not very smart. Many of the business decisions these companies make tend to be hidden in systems that make poor decisions, or don’t make them at all. Further, most systems struggle to keep up with the pace of change. The answer is not to implement newer, “intelligent” systems. The fact is that much of today’s existing technology has the potential to be “smart enough” to make a big difference to an organization’s business. This book tells you how. Although the business context and underlying principles are explained in a nontechnical manner, the book also contains how-to guidance for more technical readers. The book’s companion site, www.smartenoughsystems.com, has additional information and references for practitioners as well as news and updates. Additional Praise for Smart (Enough) Systems “James Taylor and Neil Raden are on to something important in this book–the tremendous value of improving the large number of routine decisions that are made in organizations every day.” Dr. Hugh J. Watson, Chair of Business Administration, University of Georgia “This is a very important book. It lays out the agenda for business technology in the new century–nothing less than how to reorganize every aspect of how a company treats its customers.” David Raab, President, ClientXClient “This book is an important contribution to business productivity because it covers the opportunity from both the business executive’s and technologist’s perspective. This should be on every operational executive’s and every CIO’s list of essential reading.” John Parkinson, Former CTO, Capgemini, North American Region “This book shows how to use proven technology to make business processes smarter. It clearly makes the case that organizations need to optimize their operational decisions. It is a must-have reference for process professionals throughout your organization.” Jim Sinur, Chief Strategy Officer, Global 360, Inc.

data data-science business-intelligence Analytics
O'Reilly Data Science Books
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