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Synthetic Data Generation for Fine-tuning AI Models

This course provides an introduction to synthetic data generation techniques for fine-tuning AI models, with a focus on Large Language Models (LLMs). You'll learn how to create high-quality synthetic datasets that can be used to improve the performance and capabilities of pre-trained AI models. The course covers a range of data generation methods for various task types, including text classification, Supervised Fine-Tuning (SFT), retrieval, reranking, and Preference Tuning (PT) techniques like DPO and ORPO. You'll gain hands-on experience in generating synthetic data, and leveraging LLMs as judges for quality assessment or labelling data. Additionally, the course explores potential challenges and considerations when using synthetic data in AI development, including ensuring data diversity, maintaining data quality, addressing the lack of human involvement, and navigating restrictions in model licenses.

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Ben Burtenshaw
Machine Learning Engineer, Hugging Face
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David Berenstein
ML & DevRel for Argilla @ Hugging Face
Price
US$ 400
or included with membership
Duration
3 weeks
Space is limited

Course taught by expert instructors

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Ben Burtenshaw

Machine Learning Engineer, Hugging Face

Ben Burtenshaw began his journey in the field of artificial intelligence as an NLP Researcher, focusing on the application of language technology in healthcare and developing tools for evaluating machine learning pipelines. After completing his PhD, he transitioned into industry as an NLP-focused ML engineer working on state-of-the art problems in sales enablement and other consumer software.

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David Berenstein

ML & DevRel for Argilla @ Hugging Face

David holds a degree in Computer Science and Engineering from the Technical University of Eindhoven in the Netherlands. During his studies, he completed a research exchange at Tohoku University in Sendai, Japan, specializing in Generative Adversarial Networks (GANs). After completing his studies, David has worked as a data scientist in healthcare, logistics, digital marketing and private intelligence. During which he worked on various open source projects, which eventually led him to join Argilla and later on Hugging Face.

The course

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Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.

Flexible schedule for busy professionals

We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.

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