Imagine you’re watching a travel vlog on YouTube, and you turn on the image captions feature. As the video shows a stunning view of Mount Fuji, a caption appears: “Snow-capped Mount Fuji at sunrise ...
Recommendation System using Vector Search with Qdrant
Suppose you watched Black Panther on Netflix over the weekend and now want to check out more films like that. When you open Netflix again, it suggests Iron Man, Avengers, and Doctor Strange. This is ...
Retrieval Augmented Generation – RAG with LLMs
In today's information age, we're constantly bombarded with questions. Whether it's researching a historical event, troubleshooting a tech issue, or simply satisfying our curiosity, finding the right ...
Fine-Tuning LLMs using PEFT
Large Language Models (LLMs) have taken the world by storm, demonstrating an uncanny ability to understand and generate human language. However, while they excel at grasping general language patterns, ...
Deciphering LLMs: From Transformers to Quantization
This article is the first part of the Mastering LLMs series, Here we will discuss what LLMs are, their use cases, and the tasks they perform. We will also explain the underlying Transformer ...
Text Summarization using T5: Fine-Tuning and Building Gradio App
The need for efficient text summarization has never been more pressing. Whether you're a student grappling with lengthy research papers or a professional navigating news articles, the ability to ...
