Large Language Models (LLMs) - Level 2

#ailearning #tutorial

Elevate your expertise in Large Language Models with this LLMs Level 2 advanced course. Focusing on data quality, model fine-tuning, and efficient LLM deployment techniques like quantization and LoRA. Gain hands-on experience with LLM DataStudio and H2O LLM Studio, mastering data preparation and workflow automation. Dive deep into the following key areas: ✦ Data Quality and Cleanliness: Understand its importance in reliable NLP models. ✦ Data Preparation Methods: Learn effective techniques for downstream tasks. ✦ LLM DataStudio: Master data preparation and supported workflows. ✦ Model Fine-Tuning: Use H2O LLM Studio for workflow optimization. ✦ Model Compression: Techniques like quantization and LoRA for efficient deployment. ✦ Workflow Builder: Automate tasks with practical guidance. ✦ Custom Datasets: Create tailored datasets for specific NLP applications. By the end of this course, you will have advanced expertise in data preparation, fine-tuning, and optimizing LLMs, preparing you to excel in NLP, machine learning, and data engineering roles.

Welcome to our LLM Learning Path! We've explored language models' foundations and now, we're diving into data prep's importance. Join me in discovering how clean data enhances NLP model reliability and ethics. It's not just about performance; it's about trust. In this class, we'll introduce "LLM DataStudio" and its data prep workflows. Don't miss this chance to boost your NLP knowledge and ethics. Hit that play button and let's start this exciting journey together! Disclaimer: Please note that certain content displayed has been created utilizing both our H2OGPT and Open AI's GPT-3.5 platforms. This is done to demonstrate the versatility of these tools in recognizing textual patterns and resolving complexities in language model (LLM) applications. PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

In this video you are going to maximize the language model performance with Data Preparation! Explore key functions like data augmentation, text cleaning, profanity checks, and more. Plus, learn how to structure unstructured data into Q&A format for efficient model training. Disclaimer: Please note that certain content displayed has been created utilizing both our H2OGPT and Open AI's GPT-3.5 platforms. This is done to demonstrate the versatility of these tools in recognizing textual patterns and resolving complexities in language model (LLM) applications. PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

LLMs are revolutionizing natural language processing, but harnessing their full potential requires meticulous data preparation. That's where LLM DataStudio shines, offering an intuitive, no-code interface suitable for all skill levels. As part of the H2O.ai LLM Ecosystem, it seamlessly integrates with other tools, making it an essential component for LLM users. Whether you're fine-tuning models, creating text summaries, or building conversational agents, LLM DataStudio has you covered. Data quality is paramount, and LLM DataStudio ensures it through rigorous cleaning, validation, and augmentation. It supports data ingestion from various sources and even helps you expand datasets with external and Reinforcement Learning from Human Feedback (RLHF) data. Please note that access requires an h2o.ai Enterprise license. In a nutshell, LLM DataStudio streamlines data prep for diverse LLM tasks. It accommodates various workflows, including: 1️⃣ Question and Answer 2️⃣ Text Summarization 3️⃣ Instruct Tuning 4️⃣ Human-Bot Conversations 5️⃣ Continued PreTraining Its versatility and comprehensive feature set make it an indispensable tool for LLM data preparation. Whether you're a data science novice or a pro, LLM DataStudio empowers you to harness the full potential of Large Language Models. 🌐📈 💡 Want to try H2O LLM DataStudio hands-on without setup? Watch our Aquarium walkthrough here: https://youtu.be/FSBlJeSadgw Disclaimer: Please note that certain content displayed has been created utilizing both our H2OGPT and Open AI's GPT-3.5 platforms. This is done to demonstrate the versatility of these tools in recognizing textual patterns and resolving complexities in language model (LLM) applications. PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

Take a look at the latest updates in H2O.ai Aquarium, featuring a refreshed user interface and seamless integration with H2O.ai University. These enhancements make it easier than ever to access hands-on labs and learning resources, all in one place. ▶ Start exploring Aquarium here: https://aquarium.h2o.ai/ ▶ Learn more at H2O.ai University: https://h2o.ai/university/

🔥 Welcome to LLM DataStudio! Your gateway to streamlined data preparation for Large Language Models (LLMs)! Here are the steps to follow: 🌐 Integration Made Easy: Access LLM DataStudio on the H2O Cloud platform via the App Store. 📋 Curate Your Data: No coding required! Transform unstructured data into Q&A datasets effortlessly. 📊 DataCatalog: Discover Augmentation Datasets to enrich your input data within a project. Explore dataset details, and more. 📚 Help and Resources: Access guides, Python API, and understand the importance of cleaned data for model performance and ethics. 📁 Workflow Walkthrough: We'll guide you through the process, from uploading documents to creating QA pairs and downloading results in json or csv formats. PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

In this recording, hosted by Andreea Turcu, Head of Global Training, we have delve into the critical role of data preparation in LLM fine-tuning. During this presentation, we will be focusing on the following key areas: - Data Quality Significance: Understand the paramount importance of enhancing your training data. - Introduction to LLM DataStudio: Discover a user-friendly tool that streamlines data preparation with ease and efficiency. Learn about the LLM DataStudio interface, its application, and the diverse workflows it supports. - Creating Tailored Datasets: Gain insights into the art of crafting datasets customised to meet your LLM requirements. - Building Effective Workflows: Learn how to implement data preparation processes that align seamlessly with your unique project demands. 💡 Want to try H2O LLM DataStudio hands-on without setup? ⤷ Watch our Aquarium walkthrough here: https://youtu.be/FSBlJeSadgw

Welcome to our module on LLM DataStudio's Workflow Builder! 📊 In this course, we'll dive deep into the world of data preparation using LLM DataStudio, focusing on the Data "Prepare" tab and the powerful Workflow Builder. 🔍 Discover how data preparation in LLM DataStudio follows a systematic workflow. From data intake to result generation, we'll cover every step in detail. 🚀 Learn how to create, customize, and optimize your data processing actions with ease. Discover how to connect data preparation steps, fine-tune variables, and achieve your desired results. 🎯 Delve into advanced data transformation techniques like data augmentation, cleaning, profanity checking, text summarization, and more. Harness the power of customization to tailor your data preparation to meet your specific needs. Don't forget to like, subscribe, and click the notification bell to stay updated with our latest tutorials. Let's get started! 💻📊🚀 PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

Welcome back to our YouTube channel! In this video, we'll show you how to create a question-answering dataset preparation using LLM DataStudio. 📊🤖 🔹 Step-by-Step Workflow: We'll guide you through the process using a simple, step-by-step workflow builder. 🔹 Customize for Accuracy: Learn to customize data preparation steps and parameters to ensure precise training for your question-answering models. 🔹 User-Friendly Interface: Explore the intuitive and user-friendly interface of LLM DataStudio as we transform unstructured data into structured question-answer pairs. 🔹 Elevate NLP Models: Discover how LLM DataStudio can elevate the quality and reliability of your Natural Language Processing (NLP) models. Whether you're new to data preparation or looking to enhance your NLP skills, this video has something for everyone. Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest tutorials! 🔔💡👍 Disclaimer: Please note that certain content displayed has been created utilizing both our H2OGPT and Open AI's GPT-3.5 platforms. This is done to demonstrate the versatility of these tools in recognizing textual patterns and resolving complexities in language model (LLM) applications. PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

🚀 Welcome back to our LLM Learning Path with h2o.ai, we're diving deeper into Large Language Models (LLMs) concepts and practical applications. 📚 If you're new, catch up on previous courses to get the most out of this one. You can view the entire playlist here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=bb9POojFafDIRJT0 💡 In the following chapters, we'll explore LLM Fine-Tuning with practical demos in H2O.ai's LLM Studio. Here's a sneak peek of what's ahead: 1. Refresh on LLM Fine-Tuning Techniques. 2. Discover the role of task-specific data. 3. Choose the right model backbones. 4. Master the fine-tuning process. 5. Explore quantization and LoRA. 6. Optimize your LLMs. 7. Get hands-on with LLM Studio. 8. Deploy your fine-tuned model to HuggingFace. 🌍 Join us on this open-source journey to empower your AI skills and make a difference. Let's get started! 🤖✨ Disclaimer: Please note that certain content displayed has been created utilizing both our H2OGPT and Open AI's GPT-3.5 platforms. This is done to demonstrate the versatility of these tools in recognizing textual patterns and resolving complexities in language model (LLM) applications. PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

📊 Join us as we explore the concepts of Synthetic Datasets and Language Model Backbones in this engaging video! 🤖 - Discover the significance of synthetic datasets and language model backbones in the field of data science and fine-tuning. - Learn how they provide solutions to challenges related to data acquisition and utilization. - Understand their role in promoting accessibility, transparency, and fairness in the development of artificial intelligence. Disclaimer: Please note that certain content displayed has been created utilizing both our H2OGPT and Open AI's GPT-3.5 platforms. This is done to demonstrate the versatility of these tools in recognizing textual patterns and resolving complexities in language model (LLM) applications. PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

In this course, you'll dive into the theory behind quantization and LoRA principles 📚. Here's what you can look forward to uncovering: 🔍 Explore how quantization trims down LLMs, using fewer bits to make them memory-efficient and faster for real-time applications. 🛠️ Delve into the magic of Low-Rank Adaptation (LoRA), which streamlines LLMs by trimming specific weight matrices, boosting efficiency without compromising performance. 🔧 Fine-Tuning with Quantization and LoRA: You'll learn the art of seamlessly integrating these techniques during the fine-tuning phase to optimize LLMs for peak performance. Disclaimer: Please note that certain content displayed has been created utilizing both our H2OGPT and Open AI's GPT-3.5 platforms. This is done to demonstrate the versatility of these tools in recognizing textual patterns and resolving complexities in language model (LLM) applications. PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

In this course, you'll discover the key facets of Large Language Model optimization. By the end of this short module, you will: - Learn how optimization enhances efficiency, safety, and scalability - Explore techniques like quantization, pruning, and knowledge distillation - Gain practical advice for benchmarking, iterative processes, and more - Stay updated with evolving LLM optimization methods - Introducing H2O LLM Studio for expert fine-tuning with transparency and support. Disclaimer: Please note that certain content displayed has been created utilizing both our H2OGPT and Open AI's GPT-3.5 platforms. This is done to demonstrate the versatility of these tools in recognizing textual patterns and resolving complexities in language model (LLM) applications. PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

Take a look at our H2O LLM Studio GitHub Repository, which offers a framework and graphical user interface (GUI) for easily customizing LLMs: https://github.com/h2oai/h2o-llmstudio In this exciting video, we dive into the world of language models and unleash their incredible power through our open-source H2O.ai's LLM Studio, with our instructor, Andreea Turcu. Whether you're a data enthusiast, a developer, or simply curious about the future of AI, this is the perfect video for you. Don't miss out on this eye-opening journey as we unravel the potential of LLMs and showcase the revolutionary features of H2O.ai's LLM Studio. 💡 Want to try H2O LLM Studio hands-on without setup? Watch our Aquarium walkthrough here: https://youtu.be/FSBlJeSadgw Subscribe now and hit the notification bell to stay tuned for more insightful content on our latest advancements in artificial intelligence! PS: For any certification related inquiries, please send us an e-mail at the following address: certification@h2o.ai PSS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe

Welcome back to our channel! In this video, we'll guide you through deploying your fine-tuned model using H2O LLM Studio and sharing it on Hugging Face. Thus you will discover the benefits of wider sharing and contributing to the AI community. We'll also recap key insights from our course on Large Language Models. Get ready for a practical demonstration and stay tuned for the next modules, you will definitely enjoy them ;). Disclaimer: Please note that certain content displayed has been created utilizing both our H2OGPT and Open AI's GPT-3.5 platforms. This is done to demonstrate the versatility of these tools in recognizing textual patterns and resolving complexities in language model (LLM) applications. PS: This video is a part of a series published on our LLM Learning Path Playlist, that you can check out here: https://youtube.com/playlist?list=PLNtMya54qvOHQHDpUDtZytwEV2Miali9l&si=lIXmA0hqGZhftSZe