Deeksha Razdan on Muck Rack

Deeksha Razdan

As seen in: Amazon Web Services
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Deeksha

Contact Deeksha, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Advanced fine-tuning methods on Amazon SageMaker AI | Amazon Web Services

|
By Ilan Gleiser, Deeksha Razdan, Prashanth Ramaswamy
| Amazon Web Services
This post provides the theoretical foundation and practical insights needed to navigate the complexities of LLM development on Amazon SageMaker AI, helping organizations make optimal choices for their specific use cases, resource constraints, and business objectives. We also address the three fundamental aspects of LLM development: the core lifecycle stages, the spectrum of fine-tuning methodologies, and the critical alignment techniques that provide responsible AI deployment.
Open in Who Shared Issue with article?
See all 1 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified