What is Supervised Fine-Tuning (SFT)

What is Supervised Fine-Tuning (SFT)

by | Aug 22, 2025 | AI, Blog, LLM

in this blog post “What is Supervised Fine-Tuning (SFT)” we will unpack what supervised fine-tuning is, when it’s the right tool, how it works under the hood, and how to run a robust SFT project end-to-end—from data to deployment. What is Supervised...
Strategies to Control Randomness in LLMs

Strategies to Control Randomness in LLMs

by | Aug 13, 2025 | AI, Blog, LLM

In this post, we’ll explore strategies to control randomness in LLMs, discuss trade-offs, and provide some code examples in Python using the OpenAI API. Large Language Models (LLMs) like GPT-4, Claude, or LLaMA are probabilistic by design. They generate text by...
LLM Self-Attention Mechanism Explained

LLM Self-Attention Mechanism Explained

by | Aug 11, 2025 | AI, Blog, LLM

In this post, “LLM Self-Attention Mechanism Explained”we’ll break down how self-attention works, why it’s important, and how to implement it with code examples. Self-attention is one of the core components powering Large Language Models (LLMs) like GPT,...

How to Code and Build a GPT Large Language Model

by | Aug 6, 2025 | AI, Blog, LLM

In this blog post, you’ll learn how to code and build a GPT LLM from scratch or fine-tune an existing one. We’ll cover the architecture, key tools, libraries, frameworks, and essential resources to get you started fast. Table of contentsUnderstanding GPT LLM...