by CPI Staff | 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...
by CPI Staff | 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,...
by CPI Staff | 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...
by CPI Staff | Jul 29, 2025 | AI, Blog, OpenAI
This post provides a comprehensive guide on counting tokens using the OpenAI Python SDK, covering Python virtual environments, managing your OpenAI API key securely, and the role of the requirements.txt file. In the world of Large Language Models (LLMs) and Artificial...
by CPI Staff | Jul 26, 2025 | AI, Blog, PyTorch
The softmax function is a cornerstone of machine learning, especially in tasks involving classification. It transforms raw prediction scores (logits) into probabilities, making them easy to interpret and use for decision-making. This blog post will dive deep into what...
by CPI Staff | Jul 25, 2025 | AI, Blog, PyTorch
In this blog post titled “Understanding Transformers: The Architecture Driving AI Innovation,” we’ll delve into what Transformer architecture is, how it works, the essential tools we use to build transformer-based models, some technical insights, and...
