Hugging Face Releases a Free and Open Course on Fine Tuning Local LLMs
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Hugging Face is launching a free and open course on machine learning to make artificial intelligence (AI) more accessible to everyone.The Sml Course (Small Course) guides learners through building, training, and fine-tuning machine learning models. It is based on the SmolLM2 series of models and incorporates insights from the course materials available on GitHub, offering a hands-on approach with open-source tools and real datasets. The course, available on GitHub, includes detailed information on the SmolLM2 models and their practical applications, providing an interactive and engaging learning experience.Focus on Accessibility and CollaborationThis initiative aligns with Hugging Faces mission to make AI education accessible to as many people as possible. Traditionally, machine learning has been limited to those with advanced degrees or specialized resources, but Hugging Face offers a practical, cost-free way for anyone to learn.The GitHub repository for the Sml Course offers step-by-step instructions, helping users set up their environment, build models, and train them. The content is designed to be simple and practical, with code examples that let learners see AI in action instead of just reading about it.The course also emphasizes collaboration. Its a community-driven project, and Hugging Face encourages learners to contribute, share ideas, and ask questions. This kind of collaboration helps participants deepen their understanding and connect with others in the AI community.Lowering Barriers to AIGetting into machine learning can be intimidating. The Sml Course is openly available, welcoming learners of all backgrounds. With no fees and a focus on practical applications, it is a valuable resource for those teaching themselves or looking to transition into AI.As AI adoption continues to grow, there is a gap between the demand for skilled professionals and the availability of accessible learning resources. By offering accessible AI education, Hugging Face helps bridge that gap and supports the growth of future AI professionals.How to Get StartedThe Sml Course is available on GitHub. Whether youre an experienced developer wanting to sharpen your skills or a beginner curious about machine learning, Hugging Faces approach helps turn curiosity into practical skills.With this initiative, Hugging Face demonstrates its commitment to making AI education open to all. The Sml Course is a step toward a more inclusive future for AI.Check out the Full Course on the GitHub Page. All credit for this research goes to the researchers of this project. Also,dont forget to follow us onTwitter and join ourTelegram Channel andLinkedIn Group. If you like our work, you will love ournewsletter.. Dont Forget to join our60k+ ML SubReddit. Shobha Kakkar+ postsShobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value. FREE AI WEBINAR: 'Fast-Track Your LLM Apps with deepset & Haystack'(Promoted)
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