Guide

This guide explores the step-by-step process of fine-tuning Large Language Models (LLMs) on custom datasets, highlighting the benefits of this approach for enhancing model performance on specific tasks or domains. It covers selecting a pre-trained model, preparing your dataset, and evaluating model performance, among other crucial steps.

An overview of the new features released in v1 - code block copy, multiple authors, frontmatter layout and more

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Markdown cheatsheet for all your blogging needs - headers, lists, images, tables and more! An illustrated guide based on GitHub Flavored Markdown.