Language Models - Labellerr

Language Models

A collection of 5 posts

Training Small-Scale Vs Large-Scale Language Models: The Difference

Large Language Models

Training Small-Scale Vs Large-Scale Language Models: The Difference

Language model development has significantly evolved, leading to the emergence of small-scale and large-scale models. These models have revolutionized various natural language processing related tasks and profoundly impacted the artificial intelligence field. Understanding the differences between small-scale and large-scale language models is crucial for grasping their capabilities and implications. Figure:

Exploring Architectures and Configurations for Large Language Models (LLMs)

Language Models

Exploring Architectures and Configurations for Large Language Models (LLMs)

Table of Contents 1. Introduction 2. General Architecture 3. Activation Functions 4. Conclusion Introduction Language models have become increasingly successful in recent years, especially large language models (LLMs) like GPT-4. These models have shown remarkable abilities in various natural language processing (NLP) tasks, such as text generation, language translation, question-answering,

DragGAN: An AI Magic Tool For Editing Images

Language Models

DragGAN: An AI Magic Tool For Editing Images

Welcome to the enchanted world of DragGAN, where magic and artificial intelligence combine to create masterpieces from seemingly ordinary photographs. This blog explores the fascinating powers of DragGAN, an AI-driven wizard with the dexterous ability to magically give your images a life of their own. Join us on this enthralling

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Language Models

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Keeping up with the latest developments in the rapidly expanding field of natural language processing is challenging. But fear not—a strong ally is on hand to completely alter the way we think about language comprehension. Welcome to RoBERTa, the robustly optimized BERT pretraining approach set to revolutionize NLP. Join

Secret To Enhance Performance and Task Generalization in LLMs

Large Language Models

How To Enhance Performance and Task Generalization in LLMs

From the previous blog, we studied that Pre-training forms the foundation of LLMs' abilities. LLMs acquire crucial language comprehension and generation skills through pre-training on extensive corpora. The size and quality of the pre-training corpus play a vital role in enabling LLMs to possess powerful capabilities. Moreover, the design of