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SUMMARY:Free Instructlab Course
DESCRIPTION:Join us for an exciting free course where you’ll dive into Instructlab\, the cutting-edge Open Source project sponsored by Red Hat.\nInstructlab empowers you to learn and work with generative AI right on your own laptop.\nThis 2-hour session will guide you through the basics of getting started with Instructlab\, exploring the powerful Merlinite and Granite LLMs\, and learning how to add knowledge and skills to these models. Whether you’re a beginner or have some experience\, this course is a perfect opportunity to enhance your AI capabilities. \nWhy Attend? \n\nHands-on Learning: Work directly with the tools and models that power generative AI.\nExpert Guidance: Gain insights from an experienced instructor who will walk you through each step.\nOpen Source Community: Connect with like-minded individuals passionate about AI and Open Source.\n\nReady to elevate your AI skills? Don’t miss this chance to learn\, explore\, and grow. Sign up today!
URL:https://livingopensource.org/events/free-instructlab-course/
LOCATION:On-Site
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ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org
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SUMMARY:Introduction to Instructlab
DESCRIPTION:  \nJoin us for an exciting online introduction class on “Introduction to InstructLab AI“. \nThe session will be hosted by Sander van Vugt on May 31st at 5 PM and will last for one hour.\nParticipation is free and will show you how to run an AI on your laptop. This session is for you if you want to explore how generative AI is working\, and how to get started with it. \nregister: https://meet.google.com/mgd-ojzv-oze \nInstructLab is an innovative open source project created by IBM and Red Hat to enhance large language models (LLMs) used in generative artificial intelligence (gen AI) applications.\nIt provides a cost-effective solution for improving LLM alignment and opens the door for contributors with minimal machine learning experience. \nWhat does InstructLab do? \nInstructLab enhances LLMs like chatbots and coding assistants by:\n– Allowing less expensive and resource-intensive fine-tuning.\n– Enabling continuous improvement from community contributions.\n– Reducing the need for large amounts of human-generated data. \nHow does InstructLab work? \nInstructLab uses the LAB method\, which includes:\n1. Taxonomy-driven data curation: Human-curated training data examples.\n2. Large-scale synthetic data generation: Creating new examples and refining them for quality.\n3. Iterative\, large-scale alignment tuning: Retraining the model with synthetic data. \nHow is InstructLab different? \nInstructLab stands out by:\n– Utilizing fewer human-generated examples compared to traditional methods.\n– Enhancing LLMs continuously with community contributions.\n– Being model-agnostic\, allowing supplemental fine-tuning for various LLMs. \nComparison to Other Methods: \n– Pretraining: Involves large-scale\, resource-intensive training.\n– Alignment Tuning: InstructLab uses fewer human examples for significant improvements.\n– Retrieval-Augmented Generation (RAG): Focuses on supplementing LLMs with domain-specific knowledge without retraining\, while InstructLab enhances and unlocks new skills. \nDon’t miss this opportunity to learn about the transformative InstructLab project and how you can contribute to and benefit from it. Register now and join us for an enlightening session!
URL:https://livingopensource.org/events/introduction-to-instructlab/
LOCATION:On-Site
CATEGORIES:Tutorial
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ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org
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