An Exec’s Guide to Supervised Fine-Tuning

The Generative AI (GenAI) and Large Language Model (LLM) race is on. Companies need to increasingly push the boundaries to gain an edge. Open-source models lack the differentiation you need to stand out, and building from scratch is a time- and resource-draining endeavor. This is where supervised fine-tuning (SFT) comes in. SFT leverages the power of generic LLMs while tailoring them to your unique business challenges. It bridges the gap between pre-trained and custom-built solutions to accelerate development and maximize ROI. The result? Proprietary applications, faster development cycles, and a first-mover advantage in the AI race.

In this e-book we’ll cover:

  • The benefits of SFT
  • Accelerating LLM development with SFT
  • How to choose the right fine-tuning approach
  • Using SFT to unlock faster ROI and propel GenAI projects toward market leadership

Download Now

Full Name*

Email Address*

Phone Number*

Subject*

Topic

Thank you! Your submission has been received.
We'll get back to you as soon as possible.

In the meantime, we invite you to check out our free resources to help you grow your service business!

Free Resources
Oops! Something went wrong while submitting the form.

About the Author

Sama Research Team

RESOURCES

Related Ebooks

Optimizing Your Model with Supervised
Fine-Tuning
This is some text inside of a div block.
abstract background
EBOOK

Optimizing Your Model with Supervised
Fine-Tuning

Learn More
Top Trends in Gen AI Development
This is some text inside of a div block.
abstract background
EBOOK

Top Trends in Gen AI Development

Learn More
Generative AI Red Teaming: Boost Gen AI Model Safety and Resilience
This is some text inside of a div block.
abstract background
EBOOK

Boost Gen AI Model Safety and Resilience

Learn More