Educational
How to Generate Rich Image Captions Using the PaliGemma Model

How to Generate Rich Image Captions Using the PaliGemma Model

Welcome to a step-by-step guide that will empower you to create captivating image captions using the fine-tuned PaliGemma model. The model, which is specially configured to generate middle-sized captions (200 to 350 characters), is less prone to hallucinations, making...

How to Use Hunyuan-DiT for Text-to-Image Generation

How to Use Hunyuan-DiT for Text-to-Image Generation

The Hunyuan-DiT library offers a captivating way to transform your textual prompts into stunning images. Powered by a profound understanding of Chinese and English, it allows users to embark on an imaginative journey through a multi-resolution diffusion transformer....

How to Create a Super-Performant RAG Pipeline for AI Apps

How to Create a Super-Performant RAG Pipeline for AI Apps

Welcome to the world of Super-RAG, a super-performant RAG (Retrieval Augmented Generation) pipeline designed for AI applications! This guide will walk you through installing and using Super-RAG to facilitate efficient data processing in your AI projects. Let’s ignite...

How to Merge Pre-Trained Language Models Using GGUF Format

How to Merge Pre-Trained Language Models Using GGUF Format

In this guide, we're going to explore how to create a merged language model using the GGUF format, particularly one inspired by the Poppy models. This involves utilizing tools like MergeKit and llama.cpp, making it accessible to even those with minimal programming...