Free Download The OWASP Top 10 for Large Language Model (LLM) Applications An Overview Released 3/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 51m | Size: 108 MB Ever since the release of ChatGPT, it seems like everyone is talking about large language models (LLMs). With the rapid adoption of this exciting new technology, it's crucial for organizations to address malicious threat actors that could exploit the benefits of any emerging advancements and pose significant risks to your data and privacy. Free Download Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs English | 2024 | ISBN: 0138280371 | 563 Pages | EPUB | 30 MB
Free Download Large-Scale Perturbations of Magnetohydrodynamic Regimes: Linear and Weakly Nonlinear Stability Theory by Vladislav Zheligovsky English | PDF (True) | 2011 | 341 Pages | ISBN : 3642181694 | 4 MB New developments for hydrodynamical dynamo theory have been spurred by recent evidence of self-sustained dynamo activity in laboratory experiments with liquid metals. Free Download Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs English | 2024 | ISBN: 0138199191 | 432 Pages | PDF | 19 MB The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing in recent years. Models like BERT, T5, and ChatGPT have demonstrated unprecedented performance on a wide range of NLP tasks, from text classification to machine translation. Despite their impressive performance, the use of LLMs remains challenging for many practitioners. The sheer size of these models, combined with the lack of understanding of their inner workings, has made it difficult for practitioners to effectively use and optimize these models for their specific needs.
Free Download Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS English | 2023 | ISBN: 9781804618257 | 258 Pages | PDF EPUB (True) | 15 MB Free Download Run Large Language Models (LLMS) Locally with Ollama Published 3/2024 Created by Peng Xiao MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 10 Lectures ( 42m ) | Size: 227 MB Free Download Large Mammal Restoration: Ecological and Sociological Challenges in the 21st Century By David S. Maehr, Reed F. Noss, Jeffery L. Larkin, Melvin E. Sunquist 2001 | 375 Pages | ISBN: 1559638176 | PDF | 3 MB Evidence is mounting that top carnivores and other large mammals play a pivotal role in regulating ecosystem health and function, yet those are the species that are most likely to have been eliminated by past human activities. In recent decades, numerous efforts have been undertaken to return some of the species that were previously extirpated on local or regional scales.Large Mammal Restoration brings together for the first time detailed case studies of those efforts, from restoring elk in Appalachia to returning bison herds to the Great Plains to the much-publicized effort to bring back the gray wolf to Yellowstone National Park. Together these case studies offer important lessons and new ways of thinking for wildlife managers and conservation biologists involved with restoration programs. Sections examine: approaches to determining the feasibility of a restoration program critical hands-on aspects of restoring large mammals obtaining public input into the process and gaining community support for programs the potential of some species to return without direct human intervention, and what can be done to facilitate that natural colonization An introductory chapter by Reed F. Noss explores some of the reasons for restoring large mammals, as well as some of the ecological and social complications, and a concluding overview by David S. Maehr discusses the evolutionary importance of large mammal restoration. Contributors include Paul C. Paquet, Barbara Dugelby, Steven H. Fritts, Paul R. Krausman, Larry D. Harris, Johnna Roy, and many others. Large Mammal Restoration brings together in a single volume essential information on the lessons learned from previous efforts, providing an invaluable resource for researchers and students of conservation biology and wildlife management as well as for policymakers, restoration advocates, and others involved with the planning or execution of a restoration program.
Free Download Business War Games: How Large, Small, and New Companies Can Vastly Improve Their Strategies and Outmaneuver the Competition by Benjamin Gilad English | January 1, 2008 | ISBN: 1601630301, 1601632819 | True EPUB | 223 pages | 1.4 MB In a global, complex, and competitive world, developing a plan without testing it against market reaction is like walking blind into a minefield. War gaming is a metal detector for a company. Yet war games run by the large consulting firms are kept secret and cost millions. For the first time, this book makes them accessible to every product and brand manager, every project leader, every marketing professional, and every planner, no matter how small or large the company. Free Download Learning Deep Learning From Perceptron to Large Language Models Released 2/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 13h 23m | Size: 2.75 GB Table of contents Free Download Large Language Models Building and Fine–Tuning LLMs for Industry Applications Released 2/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 1h 21m | Size: 153 MB As large language models are becoming increasingly prevalent in various industries, professionals need to understand how to build, fine-tune, and deploy these models effectively and responsibly. In this course, learn the foundations of building, fine-tuning, and deploying LLMs in real-world applications. Instructors Soham Chatterjee and Archana Vaidheeswaran start with an introduction to LLMs and their evolution in the AI landscape. They then dive into LLM architectures, show you how to fine tune strategies for custom tasks, explain why and how to compress LLMs, and, finally, cover important aspects of prompt engineering. Through the course, they offer a series of challenges and solutions so you can practice the lessons as you go. |