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[img]https://i123.fastpic.org/big/2024/0606/03/ea91933d704af316325cb688ac40ff03.jpg[/img] [b]Hello, South Korea: Country Behind Hallyu [Audiobook] English | ASIN: B0CZ7NKYJ2 | 2024 | 6 hours and 2 minutes | M4B@128 kbps | 336 MB [/b] Korea is a global phenomenon. K-pop tops the charts, kimchi spices up meals and K-drama dominates TV screens. Now, it's time to discover more of the country and culture that's captivated the world. It might be a powerhouse of popular culture, but South Korea is so much more than BTS and bibimbap-and with this book, it's yours to explore. Dive deeper into the country behind Hallyu and discover why it was long known as the Hermit Kingdom, who the incredible haenyeo divers of Jeju Island are and how age was once calculated in three different ways. Along the way, you'll get to know the people who've shaped the country and its customs, uncover the makings of the Hallyu and, of course, explore the global exports we all know and love. How many varieties of kimchi are there? Why did Squid Game receive mixed reactions in Korea? And what, exactly, is the "glass skin" beauty effect? Find out all this and more in this must-have book: the perfect introduction to this wonderfully varied country [b]DOWNLOAD [/b] [code] https://rapidgator.net/file/30ec6c0e171d5fddf40ae5c245d54286/Hello_South_Korea_A.m4b.html https://nitroflare.com/view/5E00BE92ED27876/Hello_South_Korea_A.m4b [/code]

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[img]https://i123.fastpic.org/big/2024/0605/a0/183c198a3fe9e8787b985f67eae9faa0.jpg[/img] [b]Linux Hardening Released 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 50m | Size: 338 MB[/b] Are you a Linux systems administrator seeking to learn the best practices for securing your network? New threats are emerging every day, and as an administrator, you need to stay ahead of threats. In this course, Corey Holzer takes you through hardening for the system level, services, and user account management. [b]HOMEPAGE[/b] [code] https://www.linkedin.com/learning/linux-hardening [/code] [b]DOWNLOAD [/b] [code] https://rapidgator.net/file/35b9ed8d48abc95508f38514affbebb3/Linux_Hardening.rar.html https://nitroflare.com/view/FC928FD4DD9473D/Linux_Hardening.rar [/code]

[img]https://i123.fastpic.org/big/2024/0605/81/3ca6b81e007da645f6518d804f72b381.jpg[/img] [b]ChatGPT and SQL Released 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 23m | Size: 197 MB[/b] AI is changing the world around us, and completely revolutionizing the way we work. Data professionals now have access to tools that provide superpowers to work smarter and faster than ever before. In this course, the Maven Analytics team guides you through the world of deep learning and generative AI and shows you how to leverage SQL and ChatGPT together to work more efficiently and make smarter, data-driven decisions. Explore the rapid rise of large language models like ChatGPT and Google Gemini, and get up and running with free tools that will take your skills to the next level. You'll also dive into the art of prompt engineering, review tips and best practices for generating consistent and accurate model outputs, and find out how to address common limitations and pitfalls to be aware of. From there, John Pauler takes you through some of the most powerful and practical ChatGPT use cases for data science and analytics, with instructor-led demos in SQL. [b]HOMEPAGE[/b] [code] https://www.linkedin.com/learning/chatgpt-and-sql [/code] [b]DOWNLOAD [/b] [code] https://rapidgator.net/file/a7ddc68e061e0bb4f54e10aef01ac77a/ChatGPT_and_SQL.rar.html https://nitroflare.com/view/E3B06012D305F28/ChatGPT_and_SQL.rar [/code]

[img]https://i123.fastpic.org/big/2024/0605/e6/a532648d71ef3d25c396ce34945eb6e6.jpg[/img] [b]Generative AI Tools for Productivity and Research Released 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 18m | Size: 192 MB[/b] Artificial intelligence is growing rapidly, affecting nearly every industry, and it's not going anywhere. If you're feeling overwhelmed by the onslaught of AI tools or just feeling out of the loop with the speedy changes in the AI landscape, check out this course with instructor Wuraola Oyewusi. Wuraola explores a wide range of generative AI tools from text to image, language generation with chatbots (Google Gemini, Microsoft Copilot), research (Elicit AI, Litmaps, SciSpace). She shows you how to write, visualize, extract, parse, search, and distill scientific and academic research content. Learn about getting set up, prompting, finding the right tool, and more, and discover how you can use generative AI tools to improve research productivity. [b]HOMEPAGE[/b] [code] https://www.linkedin.com/learning/generative-ai-tools-for-productivity-and-research [/code] [b]DOWNLOAD [/b] [code] https://rapidgator.net/file/67d939a02cd8f44f214b6283dafc6823/Generative_AI_Tools_for_Productivity_and_Research.rar.html https://nitroflare.com/view/6123C838ED05B5A/Generative_AI_Tools_for_Productivity_and_Research.rar [/code]

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[img]https://i123.fastpic.org/big/2024/0605/a6/f92efcf124daa85f41d0771c02975ba6.jpg[/img] [b]DSPy: Learn how to program (not prompt) language models Published 6/2024 Created by Franck Stéphane MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 11 Lectures ( 3h 17m ) | Size: 1.64 GB[/b] From Manual Prompting to Automated Mastery: Building Resilient Systems with DSPy What you'll learn: Learn the fundamental abstractions of DSPy (signatures, modules, language models, retrieval models, optimisers, metrics, and assertions) Learn how to build a RAG (Retrieval Augmented Generation) system using DSPy Build a stock analyst using DSPy Learn synthetic prompt optimisation using DSPy and LangChain Requirements: Basic Python Knowledge Description: In this tutorial, I will introduce you to DSPy, a powerful framework for programming (not prompting) language models. We will explore how DSPy can help you build LLM applications by reducing the need for manual prompt optimization. I will explain the concept of signatures and modules, and how they can be used to define the input, outputs, and flow of your application. Additionally, I will demonstrate how DSPy allows for prompt optimization using data sets. Throughout the tutorial, we will work on practical coding examples, including building a stock analysis tool, a chess playing agent, and BabyAGI, an autonomous task-based AI agent. Join me to learn more about DSPy and its exciting features!This course is specifically designed for two main groups of learners:Python Developers Eager to Learn About AI and Prompt Optimization:If you have a solid foundation in Python programming and are looking to expand your expertise into the exciting field of artificial intelligence, this course will provide you with the practical skills and theoretical knowledge necessary to excel. This course is ideal for developers who are interested in understanding how to leverage AI for automated processes, specifically in optimizing prompts to interact effectively with AI models. Whether you aim to enhance your current projects or want to explore new opportunities in AI, this course will equip you with cutting-edge skills in AI application development.AI Engineers Tired of Manual Prompt Optimization:For AI professionals who find the task of manual prompt optimization tedious and time-consuming, this course offers a deep dive into automated solutions. Learn how to implement advanced techniques that streamline your workflow and improve the efficiency and effectiveness of your AI systems. This course will teach you how to use Python to automate and refine the process of prompt optimization, enabling you to focus on more strategic aspects of AI engineering.What Will You Gain?By the end of this course, learners will be able to:Understand the principles and methodologies behind AI and prompt optimization.Apply Python programming skills to automate and optimize prompts for AI models.Enhance AI system efficiencies by reducing the need for manual input adjustments.Innovate within their projects or roles by incorporating advanced AI techniques. Who this course is for: Python Developers Eager to Learn About AI and Prompt Optimization AI Engineers Tired of Manual Prompt Optimization [b]HOMEPAGE[/b] [code] https://www.udemy.com/course/dspy-learn-how-to-program-not-prompt-language-models/?couponCode=ST19MT60324 [/code] [b]DOWNLOAD [/b] [code] https://rapidgator.net/file/fbf635ff4ab378829374269c7a6b3c03/DSPy_Learn_how_to_program_(not_prompt)_language_models.part1.rar.html https://rapidgator.net/file/350c13bc9e3a4f7ffd2f17d2d8c826ca/DSPy_Learn_how_to_program_(not_prompt)_language_models.part2.rar.html https://nitroflare.com/view/4166ED90C91ADF5/DSPy_Learn_how_to_program_%2528not_prompt%2529_language_models.part1.rar https://nitroflare.com/view/65A59CDC06BCCDD/DSPy_Learn_how_to_program_%2528not_prompt%2529_language_models.part2.rar [/code]

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