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Free Download How LLMs Understand & Generate Human Language Released: 9/2024 Duration: 1h 54m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 372 MB Genre: eLearning | Language: English Your introduction to how generative large language models work. Overview Generative language models, such as ChatGPT and Microsoft Bing, are becoming a daily tool for a lot of us, but these models remain black boxes to many. How does ChatGPT know which word to output next? How does it understand the meaning of the text you prompt it with? Everyone, from those who have never once interacted with a chatbot, to those who do so regularly, can benefit from a basic understanding of how these language models function. This course answers some of your fundamental questions about how generative AI works. In this course, you learn about word embeddings: not only how they are used in these models, but also how they can be leveraged to parse large amounts of textual information utilizing concepts such as vector storage and retrieval augmented generation. It is important to understand how these models work, so you know both what they are capable of and where their limitations lie. About the Instructor Kate Harwood is part of the Research and Development team at the New York Times, researching the integration of state-of-the-art large language models into the Times' reporting and products. She also teaches introduction to AI courses through The Coding School. She has a MS in computer science from Columbia University. Her primary focus is on natural language processing and ethical AI. Learn How To Understand how human language is translated into the math that models understand Understand how generative language models choose what words to output Understand why some prompting strategies and tasks with LLMs work better than others Understand what word embeddings are and how they are used to power LLMs Understand what vector storage/retrieval augmented generation is and why it is important Critically examine the results you get from large language models Who Should Take This Course Anyone who Is interested in demystifying generative language models Wants to be able to talk about these models with peers in an informed way Wants to unveil some of the mystery inside LLMs' black boxes but does not have the time to dive deep into hands-on learning Has a potential use case for ChatGPT or other text-based generative AI or embedding storage methods in their work Rapidgator https://rg.to/file/2c1c9b2ea7b934b80ed7931c474de8dd/bfhsk.How.LLMs.Understand..Generate.Human.Language.rar.html Fikper Free Download https://fikper.com/SBfvIjO7T0/bfhsk.How.LLMs.Understand..Generate.Human.Language.rar.html No Password - Links are Interchangeable

Free Download Ai For Beginners - Master Llms And Learn Top Prompting Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.90 GB | Duration: 1h 36m Learn AI fundamentals, master top language models, develop expert prompting skills, and apply AI in daily life/business. What you'll learn Define and explain key AI concepts including generative AI, large language models (LLMs), and tokenization in simple terms. Compare and evaluate major AI models such as ChatGPT, Claude, Gemini, Meta's AI, and Perplexity for various applications. Develop effective AI prompting techniques using advanced frameworks to optimize interactions with language models. Apply AI tools and technologies to real-world scenarios, enhancing productivity and problem-solving in daily life and business contexts. Requirements No fancy tech skills needed here! This course is all about jumping into AI with both feet, no matter where you're starting from. The only real requirements? A dash of curiosity, a sprinkle of creativity, and an open mind ready to soak up some cool new ideas. If you can think outside the box and aren't afraid to let your imagination run wild, you're all set! Don't worry about having any special equipment or software - just bring yourself and your enthusiasm. We'll take care of the rest and guide you through this exciting AI journey. Description Curious about AI but unsure where to start? This course breaks down artificial intelligence into clear and easy-to-understand lessons. Learn to use AI confidently, whether you are a complete beginner or looking to expand your knowledge.In this course, you will learn:The fundamentals of AI and how it's changing the way we work and liveAn in-depth look at popular AI models like ChatGPT, Claude, Meta AI, Google's Gemini, and PerplexityOur exclusive TOP prompting framework to communicate effectively with AIPractical ways to integrate AI into your daily personal life and professional tasksWe break down complex concepts into simple lessons, focusing on real-world applications. You will gain hands-on experience with AI tools, learning how to craft prompts that yield impressive results.By the end of this course, you will have the confidence to:Navigate the AI landscape with easeUse AI to boost your productivity and creativityApply AI solutions to various personal and business challengesStay ahead of the curve in the rapidly evolving field of AIJoin this exciting journey and transform your understanding of AI. No technical background required ~ just bring your curiosity and willingness to learn. Let's explore the future of technology together! Overview Section 1: Before We Begin Lecture 1 Course Expectations Lecture 2 Prerequisites Section 2: Introduction to AI Lecture 3 AI Explained and a Brief History Lecture 4 Gen-AI vs. Traditional Search Lecture 5 AI Terminology Lecture 6 Model-Specific Terms Section 3: Review of Popular Models Lecture 7 A Note on Models Lecture 8 ChatGPT Lecture 9 Claude Lecture 10 Meta AI Lecture 11 Gemini Lecture 12 BONUS: Perplexity Section 4: Prompting Techniques Lecture 13 Prompting Overview Lecture 14 Prompting Techniques Lecture 15 TOP Prompting Framework Lecture 16 Live Example Lecture 17 More Tips & Advice Section 5: Use Cases Lecture 18 Use Case Overview Lecture 19 Simplifying Ideas Lecture 20 Idea Generation and Brainstorming Lecture 21 Constructive Criticism and Feedback Lecture 22 Role Playing Lecture 23 Health - Exercise & Nutrition Lecture 24 Content Summarization Lecture 25 Business Analysis Section 6: Final Thoughts Lecture 26 The AI Mindset Lecture 27 Slow AI Lecture 28 Don't Give Up Lecture 29 Final Thoughts The AI-curious: Those who have heard the buzz about AI and want to see what all the fuss is about.,Frustrated AI beginners: Those who have tried AI tools but haven't gotten the results they hoped for.,AI enthusiasts looking to level up: You're already using AI but want to sharpen your skills and dive deeper.,Small business owners: You're eager to harness AI's potential to boost your business but don't know where to start.,Professionals seeking an edge: You want to stay ahead of the curve in your industry by understanding AI applications.,Tech-savvy parents: You want to understand the AI your kids are using and help guide them in this new digital landscape.,Lifelong learners: You're fascinated by new technologies and want to understand one of the most impactful innovations of our time. Homepage https://www.udemy.com/course/ai-for-beginners/ Rapidgator https://rg.to/file/f7fca6f319f2e5491e43bf97459b3d55/myhrc.Ai.For.Beginners.Master.Llms.And.Learn.Top.Prompting.part1.rar.html https://rg.to/file/46639610d8d2e68db8d0d4fbb3a5ddf0/myhrc.Ai.For.Beginners.Master.Llms.And.Learn.Top.Prompting.part2.rar.html Fikper Free Download https://fikper.com/rAbjKTHKPd/myhrc.Ai.For.Beginners.Master.Llms.And.Learn.Top.Prompting.part1.rar.html https://fikper.com/zvGwCYmJPU/myhrc.Ai.For.Beginners.Master.Llms.And.Learn.Top.Prompting.part2.rar.html No Password - Links are Interchangeable

Free Download Building Secure and Trustworthy LLMs Using NVIDIA Guardrails Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 56m | Size: 106 MB Guardrails are essential components of large language models (LLMs) that can help to safeguard against misuse, define conversational standards, and enhance public trust in AI technologies. In this course, instructor Nayan Saxena explores the importance of ethical AI deployment to understand how NVIDIA NeMo Guardrails enforces LLM safety and integrity. Learn how to construct conversational guidelines using Colang, leverage advanced functionalities to craft dynamic LLM interactions, augment LLM capabilities with custom actions, and elevate response quality and contextual accuracy with retrieval-augmented generation (RAG). By witnessing guardrails in action and analyzing real-world case studies, you'll also acquire skills and best practices for implementing secure, user-centric AI systems. This course is ideal for AI practitioners, developers, and ethical technology advocates seeking to advance their knowledge in LLM safety, ethics, and application design for responsible AI. Homepage https://www.linkedin.com/learning/building-secure-and-trustworthy-llms-using-nvidia-guardrails TakeFile https://takefile.link/rmfoxbbqyz3i/mlqwd.Building.Secure.and.Trustworthy.LLMs.Using.NVIDIA.Guardrails.rar.html Rapidgator https://rg.to/file/0da052b9a0a4160d988f4c4d64d1cc68/mlqwd.Building.Secure.and.Trustworthy.LLMs.Using.NVIDIA.Guardrails.rar.html Fikper Free Download https://fikper.com/CxBV8UMA8L/mlqwd.Building.Secure.and.Trustworthy.LLMs.Using.NVIDIA.Guardrails.rar.html No Password - Links are Interchangeable

Free Download From Traditional ML to LLMs Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 39m | Size: 213 MB Bridging the gap from ML basics to advanced LLMs What you'll learn Leveraging traditional ML knowledge for working with LLMs Hands-on experience with PyTorch for LLMs Deeply understand the details of Transformer architecture Unfold the use-cases of LLMs for different tasks Discover new evaluation metrics specifically for LLMs Perform Text Classification and Text Summarization in Python Get familiar with concepts like RLHF or OpenAI API Confidence to make the first steps in LLMs Requirements Knowledge of traditional ML basic concepts and Python Description Unlock the most recent 'now' of machine learning with this hands-on, fast-paced crash course entitled "From Traditional ML to LLMs."Your Story:[Hypothetical] Anna, a seasoned ML engineer, had mastered traditional machine learning models, but every job listing screamed "LLMs." The world was moving on, and she needed to keep up. Learning Large Language Models sounded like a daunting leap-until she found a way to bridge her existing skills with the cutting-edge techniques she needed. This course was her solution.[Hypothetical] Jamal was a data scientist with strong ML experience, but transformers and tokenization seemed like a different universe. He needed to add LLMs to his skill set to stay competitive, and he didn't want theory; he wanted practical, hands-on applications that would help him shine in real-world projects.My Story: I've been where you are-armed with traditional ML knowledge but looking to level up. I struggled with endless tutorials and theories, but through persistence, I got hands-on and found the perfect way to apply my traditional ML expertise to LLMs. I went from logistic regression models to transformer-based LLMs, and now I want to help you do the same. By the end of this course, you'll confidently build and fine-tune LLMs using your existing knowledge, apply PyTorch, and solve real-world text-based challenges.What You'll Learn: In this course, I won't just throw theory at you. You'll gain real, actionable skills to bridge the gap from traditional ML to LLMs, helping you tackle practical challenges in the industry. Here's what you'll get:Core skills refreshed and connected to LLMs.A deep understanding of the famous Transformers.Practical insights into LLM concepts - from tokenization to RLHF.A hands-on project-based approach where you'll build a text classification and a summarization model using PyTorch.How This Course is Structured: I know learning LLMs can feel like stepping into a foreign world. So, I've designed this course to be practical and fun-no abstract concepts, just real-world applications. I'll walk you through exercises and examples based on actual ML-to-LLM workflows. Expect quizzes and assignments that you can apply directly to your work.FAQs:Do I need to know LLMs already? - Nope! We'll cover everything you need from basic architecture concepts to advanced LLMs.Will this course work for PyTorch beginners? - Absolutely! We guide you through the necessary steps to build and fine-tune your first models.Ready to close the gap between traditional ML and the next wave of AI innovation? Jump in and let's get started! Who this course is for Data scientists with good background in traditional ML but lacking any knowledge in LLMs Homepage https://www.udemy.com/course/from-traditional-ml-to-llms/ Rapidgator https://rg.to/file/454ab1e06a3d98fa2b41282d11e1439d/ggljj.From.Traditional.ML.to.LLMs.rar.html Fikper Free Download https://fikper.com/oFfXneabnk/ggljj.From.Traditional.ML.to.LLMs.rar.html No Password - Links are Interchangeable

pdf | 48.88 MB | English | Isbn:9781098160883 | Author: Kerrie Holley, Manish Mathur | Year: 2024 About ebook: LLMs and Generative AI for Healthcare: The Next Frontier https://rapidgator.net/file/a3f072f0dc073f65da94859492b0265e/ https://nitroflare.com/view/1502804AE3F2AE2/