Welcome to our friendly guide on the Retriever Distilled Reader (RDR), a powerful model that enhances the answer recall rates for various tasks! In this article, we'll dive into how to effectively use RDR and what makes it stand out from prior models. Understanding...
How to Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder
In the world of natural language processing (NLP), creating robust models for dense retrieval tasks has become a cornerstone of effective information retrieval. In this blog, we will explore the concept of training a strong text encoder using a weak decoder, as...
Getting Started with RuCLIP: A Comprehensive Guide
Welcome to the world of multimodal learning with RuCLIP! In this article, we'll dive into the essentials of the RuCLIP model, its capabilities, and how you can harness its power for tasks such as text ranking, image classification, and more. Whether you’re a seasoned...
Understanding NLI Model Generalization: A Guide for Practitioners
Natural Language Inference (NLI) is an exciting area of research in Natural Language Processing (NLP), focusing on determining the logical relationship between text pairs. Today, we’ll explore the key aspects of leveraging NLI models and how to implement them...
How to Fine-Tune Wav2Vec2-Large on Librispeech Data
If you're venturing into the depths of speech recognition and want to leverage the power of wav2vec2-large, this guide is tailored for you. Specifically, we'll explore how to fine-tune this model on 100 hours of Librispeech training data—a pivotal step in achieving...
How to Use Roberta2Roberta for Summarization: A User-Friendly Guide
Are you ready to harness the power of AI for summarizing text? In this guide, we’ll delve into the fascinating world of the Roberta2Roberta model, a versatile EncoderDecoder model fine-tuned for summarization. Whether you’re a seasoned programmer or a curious learner,...
Bert2GPT2 Summarization Using the EncoderDecoder Framework
In the age of information overload, summarization models can significantly enhance our ability to quickly digest data. One notable summation model is the Bert2GPT2, built on the EncoderDecoder framework. This blog will take you step-by-step through how to utilize this...
How to Pretrain RoBERTa on Smaller Datasets
Are you interested in diving into the fascinating world of natural language processing? Pretraining RoBERTa models on smaller datasets can be an exciting way to explore language understanding without the need for colossal data resources. This blog will guide you...
How to Generate News in Thai Language Using Keywords
In today's digital world, content generation has taken on a new dimension. With advancements in artificial intelligence, we can now create news articles in various languages, including Thai, using just a few keywords. This blog will guide you through the process of...









