In the field of Natural Language Processing (NLP), one of the most critical challenges is Sentence Boundary Detection (SBD). This task becomes particularly complex in the legal domain due to the intricate structures of legal sentences. Fortunately, researchers like...
Welcome to the world of BERT optimization! In this article, we will dive deep into how to optimize a BERT model using the OpenVINO NNCF toolkit. We will cover the steps needed for implementation, troubleshooting tips, and an analogy that could help you grasp these...
Sentiment analysis refers to the process of determining the sentiment behind a piece of text, be it positive, negative, or neutral. In this guide, we will explore how to use the beto-sentiment-analysis repository, which utilizes the advanced BETO model. Getting...
In this article, we will delve into how to set up and perform inference using the Transformers library with a focus on utilizing the Llama-2-7B model. Whether you're building chatbots, language translators, or any other AI-powered applications, understanding how to...
In the world of Natural Language Processing (NLP), the implementation of language models has become crucial for a multitude of applications. One such innovation is PhoBERT, the premier pre-trained language model tailored specifically for the Vietnamese language. In...
In the world of artificial intelligence, fine-tuning pre-trained models to cater to specific language needs is a crucial step. In this article, we will explore how to fine-tune the GPT-Neo model for the Thai language, using the Thai GPT model known as...
Welcome to our guide on using the HinPLMs (Pre-trained Language Models for Hindi). This resource is designed to help you navigate through the process of utilizing these models for your own projects effectively. Getting Started with HinPLMs To use HinPLMs, you'll need...
In this guide, we will walk you through the process of training a model using the Norwegian Oscar Corpus, specifying important parameters such as warmup steps, learning rate, batch size, and epoch duration. This will ensure you are equipped with the knowledge to...
Fine-tuning a pre-trained model can seem daunting, but fear not! In this guide, I will walk you through the process of fine-tuning the BERT-tiny model using the M-FAC optimizer on the SST-2 dataset. Let's dive in! What is M-FAC? M-FAC, or Matrix-Free Approximations of...
