Artifical Intelligence
How to Fine-Tune an Open Source LLM Step-by-Step (2025 Edition) Part-2 Paid Members Public
This article is an extenstion of How to Fine-Tune an Open Source LLM Step-by-Step (2025 Edition) Part-1. Fine-tuning an open-source Large Language Model (LLM) unlocks the ability to personalize language understanding and generation for specific tasks, domains, or industries. Whether you're building a legal assistant, coding helper, medical Q&
How to Fine-Tune an Open Source LLM Step-by-Step (2025 Edition) Part-1 Paid Members Public
Fine-tuning an open-source Large Language Model (LLM) unlocks the ability to personalize language understanding and generation for specific tasks, domains, or industries. Whether you're building a legal assistant, coding helper, medical Q&A bot, or document summarizer — fine-tuning offers control, consistency, and domain expertise. In this detailed guide, we’
Prompt Engineering vs Fine-Tuning: Which One Should You Use in 2025? Paid Members Public
In today’s AI landscape, developers leveraging powerful large language models (LLMs) like GPT-4o, Claude 3, and Mistral face a critical decision: Should they rely on prompt engineering, or invest in fine-tuning? Both methods enable AI customization—but they differ significantly in: ✔ Cost (Fine-tuning requires more compute resources) ✔ Complexity (Prompt
LLMs Decoded: Architecture, Training, and How Large Language Models Really Work Paid Members Public
Learn how GPT, Claude, and Mistral actually work. This visual guide decodes LLM architecture, training, tokenization, and generation—perfect for developers, students, and AI enthusiasts.
