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BlogWebinarsResponsibly Using Big Data to Train LLMs: A Practical Demonstration
WebinarDeveloper interest

Responsibly Using Big Data to Train LLMs: A Practical Demonstration

J

Joachim Asare

·

1 min read · March 7, 2025

Watch now

💬 Joachim Asare | AI/ML Engineer & Master’s in Design Engineering @Harvard University

Learn to Train LLMs the Right Way!

Join Joachim Asare, AI/ML Engineer & Master’s in Design Engineering @Harvard University, as he explores responsible methods for extracting and leveraging big data to train LLMs. This session covers key ethical considerations, including privacy, transparency, and fairness throughout the AI development lifecycle.

What You'll Learn

  • Ethical Data Extraction: Understand best practices for sourcing and using big data responsibly.

  • AI Fairness & Transparency: Learn how to ensure accountability and fairness in AI training.

  • Live Demonstration: See a hands-on demo of responsible big data usage for LLMs.

  • Real-World Applications: Discover how these principles apply to real AI projects and industry use.

For any follow-up questions or notebook link, join our Discord community and engage directly with the team. We are a thriving community of 15k+ web scraping enthusiasts, committed to sharing insights, learning and exploring new technologies, and advancing in web scraping.

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