Tools-in-Action30min
Making LLM fine-tuning accessible with InstructLab
This talk introduces InstructLab, an open-source project simplifying large language model (LLM) tuning for developers of all skill levels on consumer hardware. It highlights InstructLab's approach using collaborative knowledge curation, efficient data generation, and instruction training. A live demo showcases enhancing LLMs for specific applications without needing data science expertise.
Cedric ClyburnRed Hat
Legare KerrisonRed Hat
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Thursday, May 8, 17:20-17:50
Room B
The rise of large language models (LLMs) has opened up exciting possibilities for developers looking to build intelligent applications. However, the process of adapting these models to specific use cases can be difficult, requiring deep expertise and substantial resources. In this talk, we'll introduce you to InstructLab, an open-source project that aims to make LLM tuning accessible to developers and engineers of all skill levels, on consumer-grade hardware.We'll explore how InstructLab's innovative approach combines collaborative knowledge curation, efficient data generation, and instruction training to enable developers to refine foundation models for specific use cases. Through a live demonstration, you’ll learn how to enhance an LLM with new knowledge and capabilities for targeted applications, without needing data science expertise. Join us to explore how LLM tuning can be more accessible and democratized, empowering developers to build on the power of AI in their projects.
Cedric Clyburn
Cedric Clyburn (@cedricclyburn), Senior Developer Advocate at Red Hat, is an enthusiastic software technologist with a background in Kubernetes, DevOps, and container tools. He has experience speaking and organizing conferences including DevNexus, WeAreDevelopers, The Linux Foundation, KCD NYC, and more. Cedric loves all things open-source, and works to make developer's lives easier! Based out of New York.
Legare Kerrison
Legare Kerrison is a Developer Advocate at Red Hat, specializing in artificial intelligence and open-source technologies. She focuses on Natural Language Processing, model fine-tuning, and making AI more accessible to developers. Passionate about finding clarity in complex concepts, she has spoken at conferences worldwide.
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