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Navigating the Complexities of LLMs: Insights from Practitioners
2023-07-26 · 21:04
Ankit Mathur
– Engineering Lead, AI Serving
@ Databricks
,
Eric Peter
– Product - AI Platform
@ Databricks
,
Salman Mohammed
,
Sai Ravuru
Interested in diving deeper into the world of large language models (LLMs) and their real-life applications? In this session, we bring together our experienced team members and some of our esteemed customers to talk about their journey with LLMs. We'll delve into the complexities of getting these models to perform accurately and efficiently, the challenges, and the dynamic nature of LLM technology as it constantly evolves. This engaging conversation will offer you a broader perspective on how LLMs are being applied across different industries and how they’re revolutionizing our interaction with technology. Whether you're well-versed in AI or just beginning to explore, this session promises to enrich your understanding of the practical aspects of LLM implementation. Talk by: Sai Ravuru, Eric Peter, Ankit Mathur, and Salman Mohammed Here’s more to explore: LLM Compact Guide: https://dbricks.co/43WuQyb Big Book of MLOps: https://dbricks.co/3r0Pqiz Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc |
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LLMOps: Everything You Need to Know to Manage LLMs
2023-07-25 · 23:10
Joseph Bradley
,
Eric Peter
– Product - AI Platform
@ Databricks
With the recent surge in popularity of ChatGPT and other LLMs such as Dolly, many people are going to start training, tuning, and deploying their own custom models to solve their domain-specific challenges. When training and tuning these models, there are certain considerations that need to be accounted for in the MLOps process that differ from traditional machine learning. Come watch this session where you’ll gain a better understanding of what to look out for when starting to enter the world of applying LLMs in your domain. In this session, you’ll learn about:
Talk by: Joseph Bradley and Eric Peter Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc |
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StateoftheArt() - A Generative AI Conference on LLMS and AI Agents
2023-07-25 · 16:00
Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2023071109 Description: Join us for a half-day event featuring top AI/Ml influencers and leaders in the industry. The central focus will be generative AI. We will feature discussions on building your own custom LLMs, building simple AI agents, and the future of generative AI. Previously we have had Silicon Valley legends such as Eric Schmidt, Peter Norvig, Pieter Abbeel, & Alon Halevy deliver riveting fireside chats about AI, deep learning, and more. We will slowly reveal more about our exciting guests joining us in the coming weeks. Visit the event website for updated speakers, agenda and RSVP: https://www.aicamp.ai/event/eventdetails/W2023071109 |
StateoftheArt() - A Generative AI Conference on LLMS and AI Agents
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StateoftheArt() - A Generative AI Conference on LLMS and AI Agents
2023-07-25 · 16:00
Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2023071109 Description: Join us for a half-day event featuring top AI/Ml influencers and leaders in the industry. The central focus will be generative AI. We will feature discussions on building your own custom LLMs, building simple AI agents, and the future of generative AI. Previously we have had Silicon Valley legends such as Eric Schmidt, Peter Norvig, Pieter Abbeel, & Alon Halevy deliver riveting fireside chats about AI, deep learning, and more. We will slowly reveal more about our exciting guests joining us in the coming weeks. Visit the event website for updated speakers, agenda and RSVP: https://www.aicamp.ai/event/eventdetails/W2023071109 |
StateoftheArt() - A Generative AI Conference on LLMS and AI Agents
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A Panorama of Statistics
2017-01-30
Peter Petocz
– author
,
Eric Sowey
– author
A Panorama of Statistics: Perspectives, Puzzles and Paradoxes in Statistics Eric Sowey, School of Economics, The University of New South Wales, Sydney, Australia Peter Petocz, Department of Statistics, Macquarie University, Sydney, Australia This book is a stimulating panoramic tour – quite different from a textbook journey – of the world of statistics in both its theory and practice, for teachers, students and practitioners.At each stop on the tour, the authors investigate unusual and quirky aspects of statistics, highlighting historical, biographical and philosophical dimensions of this field of knowledge. Each chapter opens with perspectives on its theme, often from several points of view. Five original and thought-provoking questions follow. These aim at widening readers’ knowledge and deepening their insight. Scattered among the questions are entertaining puzzles to solve and tantalising paradoxes to explain. Readers can compare their own statistical discoveries with the authors’ detailed answers to all the questions. The writing is lively and inviting, the ideas are rewarding, and the material is extensively cross-referenced. A Panorama of Statistics: Leads readers to discover the fascinations of statistics. Is an enjoyable companion to an undergraduate statistics textbook. Is an enriching source of knowledge for statistics teachers and practitioners. Is unique among statistics books today for its memorable content and engaging style. Lending itself equally to reading through and to dipping into, A Panorama of Statistics will surprise teachers, students and practitioners by the variety of ways in which statistics can capture and hold their interest. |
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Data Scientists at Work
2014-12-15
Sebastian Gutierrez
– author
Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (Andre´ Karpis?ts?enkoEach of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. , Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). The book features a stimulating foreword by Google's Director of Research, Peter Norvig. Data Scientists at Work parts the curtain on the interviewees’ earliest data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients. |
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Joshua Jones
– author
,
Eric Johnson
– author
“ explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications. A Developer’s Guide to Data Modeling for SQL Server “Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you’re new to data modeling, or find the need to brush up on its concepts, this book is for you.” — Peter Varhol, Executive Editor, Redmond Magazine Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isn’t enough: models that don’t reflect SQL Server’s unique real-world strengths and weaknesses often lead to disastrous performance. is a practical, SQL Server-specific guide to data modeling for every developer, architect, and administrator. This book offers you invaluable start-to-finish guidance for designing new databases, redesigning existing SQL Server data models, and migrating databases from other platforms. A Developer’s Guide to Data Modeling for SQL Server You’ll begin with a concise, practical overview of the core data modeling techniques. Next, you’ll walk through requirements gathering and discover how to convert requirements into effective SQL Server logical models. Finally, you’ll systematically transform those logical models into physical models that make the most of SQL Server’s extended functionality. All of this book’s many examples are available for download from a companion Web site. This book enables you to Understand your data model’s physical elements, from storage to referential integrity Provide programmability via stored procedures, user-defined functions, triggers, and .NET CLR integration Normalize data models, one step at a time Gather and interpret requirements more effectively Learn an effective methodology for creating logical models Overcome modeling problems related to entities, attribute, data types, storage overhead, performance, and relationships Create physical models—from establishing naming guidelines through implementing business rules and constraints Use SQL Server’s unique indexing capabilities, and overcome their limitations Create abstraction layers that enhance security, extensibility, and flexibility |
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J. C. Cannon
– author
Praise for J.C. Cannon's Privacy "A wonderful exploration of the multifaceted work being done to protect the privacy of users, clients, companies, customers, and everyone in between." —Peter Wayner, author of Translucent Databases "Cannon provides an invaluable map to guide developers through the dark forest created by the collision of cutting-edge software development and personal privacy." —Eric Fredericksen, Sr. Software Engineer, PhD., Foundstone, Inc. "Cannon's book is the most comprehensive work today on privacy for managers and developers. I cannot name any technical areas not covered. No practitioners should miss it." —Ray Lai, Principal Engineer, Sun Microsystems, Inc., co-author of Core Security Patterns and author of J2EE Platform Web Services "Every developer should care deeply about privacy and this is the best book I've read on the subject. Get it, read it, and live it." —Keith Ballinger, Program Manager, Advanced Web Services, Microsoft "J.C. Cannon's book demonstrates that information and communication technology can contribute in a significant way to restoring individual privacy and raises more awareness of the complexity and importance of this societal problem." —Dr. John J. Borking, Former Commissioner and Vice-President of the Dutch Data Protection Authority "If you are planning, implementing, coding, or managing a Privacy campaign in your company or your personal computing, there is no more relevant reference. J.C. Cannon nails the issues." —Rick Kingslan, CISSP, Microsoft MVP-Windows Server: Directory Services and Right Management, West Corporation "It's often been said that security is a process, not a product. Privacy is no different! Unlike other privacy books, J.C. Cannon's book has something valuable to convey to everyone involved in the privacy process, from executives to designers and developers, many of whom aren't thinking about privacy but should be." —Keith Brown, Co-founder of Pluralsight and author of The .NET Developer's Guide to Windows Security and Programming Windows Security "J.C. Cannon's new book on electronic privacy is an important addition to the available works in this emerging field of study and practice. Through many humorous (and occasionally frightening) examples of privacy gone wrong, J.C. helps you better understand how to protect your privacy and how to build privacy awareness into your organization and its development process. Keenly illustrating both the pros and cons of various privacy-enhancing and potentially privacy-invading technologies, J.C.'s analysis is thorough and well-balanced. J.C. also explains many of the legal implications of electronic privacy policies and technologies, providing an invaluable domestic and international view." —Steve Riley, Product Manager, Security Business and Technology Unit, Windows Division, Microsoft "Privacy concerns are pervasive in today's high-tech existence. The issues covered by this book should be among the foremost concerns of developers and technology management alike." —Len Sassaman, Security Architect, Anonymizer, Inc. You're responsible for your customers' private information. If you betray their trust, it can destroy your business. Privacy policies are no longer enough. You must make sure your systems truly protect privacy—and it isn't easy. That's where this book comes in. J.C. Cannon, Microsoft's top privacy technology strategist, covers every facet of protecting customer privacy, both technical and organizational. You'll learn how to systematically build privacy safeguards into any application, Web site, or enterprise system, in any environment, on any platform. You'll discover the best practices for building business infrastructure and processes that protect customer privacy. You'll even learn how to help your customers work with you in protecting their own privacy. Coverage includes How privacy and security relate—and why security isn't enough Understanding your legal obligations to protect privacy Contemporary privacy policies, privacy-invasive technologies, and privacy-enhancing solutions Auditing existing systems to identify privacy problem areas Protecting your organization against privacy intrusions Integrating privacy throughout the development process Developing privacy-aware applications: a complete sample application Building a team to promote customer privacy: staffing, training, evangelization, and quick-response Protecting data and databases via role-based access control Using Digital Rights Management to restrict customer information Privacy from the customer's standpoint: spam avoidance, P3P, and other tools and resources Whether you're a manager, IT professional, developer, or security specialist, this book delivers all the information you need to protect your customers—and your organization. The accompanying CD-ROM provides sample privacy-enabling source code and additional privacy resources for developers and managers. J. C. CANNON, privacy strategist at Microsoft's Corporate Privacy Group, specializes in implementing application technologies that maximize consumer control over privacy and enable developers to create privacy-aware applications. He works closely with Microsoft product groups and external developers to help them build privacy into applications. He also contributed the chapter on privacy to Michael Howard's Writing Secure Code (Microsoft Press 2003). Cannon has spent nearly twenty-five years in software development. © Copyright Pearson Education. All rights reserved. |
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