Scott Edward Campit, Ph.D.
Founder of Torchstack
Hello there!
I'm Scott, a data scientist, engineer, and AI researcher.
I have over 7 years of experience working with organizations of various sizes, from startups to government entities, to develop and deploy AI models and solutions.
With notable contributions to the healthcare, biotechnology, and sports technology areas, I provide support and services to other businesses, organizations, and tech teams with their data and AI needs.
The Stack
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An Overview of Parameter Efficient Fine-Tuning ...
Scott CampitSummary This post is all about Parameter Efficient Fine-Tuning (PEFT), which are a broad range of techniques that are used to fine-tune custom LLMs while keeping compute resources/costs, training time,...
An Overview of Parameter Efficient Fine-Tuning ...
Scott CampitSummary This post is all about Parameter Efficient Fine-Tuning (PEFT), which are a broad range of techniques that are used to fine-tune custom LLMs while keeping compute resources/costs, training time,...
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Introducing the PEFT Series
Scott CampitWe are introducing the Parameter Efficient Fine-Tuning (PEFT) blog series, where we'll be discussing everything about PEFT and how to use PEFT to create your own custom Large Language Models...
Introducing the PEFT Series
Scott CampitWe are introducing the Parameter Efficient Fine-Tuning (PEFT) blog series, where we'll be discussing everything about PEFT and how to use PEFT to create your own custom Large Language Models...
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Fine-Tuning LLMs: A Practical Overview
Scott CampitAs we have discussed in a past article, fine-tuning is a form of transfer learning that makes an AI model better at a very specific task. The AI application we want...
Fine-Tuning LLMs: A Practical Overview
Scott CampitAs we have discussed in a past article, fine-tuning is a form of transfer learning that makes an AI model better at a very specific task. The AI application we want...
