Itinai.com httpss.mj.runwwpnh598ud8 generate a puppy shaped s 734872ce 0c47 4c64 ada7 ef8323d4eca2 2
Itinai.com httpss.mj.runwwpnh598ud8 generate a puppy shaped s 734872ce 0c47 4c64 ada7 ef8323d4eca2 2

Large Language Models, StructBERT — Incorporating Language Structures into Pretraining

The article discusses a new model called StructBERT that enhances the performance of BERT, a popular language model for natural language processing tasks. StructBERT modifies the pretraining objectives of BERT by introducing word sentence and sentence structural objectives. These modifications improve the model’s ability to understand word order and inter-sentence relations, resulting in better performance on various NLP tasks.

 Large Language Models, StructBERT — Incorporating Language Structures into Pretraining

**Large Language Models, StructBERT – Incorporating Language Structures into Pretraining**

Introduction

Since the introduction of BERT, a language model that has shown impressive results in various NLP tasks, researchers have been trying to enhance its performance by modifying its architecture, increasing training data, and changing the hidden size of layers. In this article, we will discuss StructBERT, a new model that surpasses BERT in top benchmarks by incorporating better learning objectives.

StructBERT – Modifying BERT’s Pretraining Objective

StructBERT focuses on slightly modifying BERT’s pretraining objective to make the model smarter. It introduces two new objectives: word sentence objective and sentence structural objective.

1. Word sentence objective

While BERT is good at guessing masked words, it struggles with reconstructing sentences with shuffled words. StructBERT addresses this by partially shuffling input tokens during the masked language modeling task. This helps the model learn to predict the original order of words.

2. Sentence structural objective

BERT’s next sentence prediction task is relatively simple and doesn’t significantly boost its performance. StructBERT enhances this objective by making the model predict the correct sentence order. By constructing training examples with pairs of sequential sentences, StructBERT learns to identify the correct order of sentences.

Combining Objectives

StructBERT combines the word sentence objective and the sentence structural objective into a final objective. This combination of objectives improves the model’s performance in understanding word order and inter-sentence relations.

Practical Applications and Value

StructBERT outperforms BERT in various NLP tasks, making it a valuable tool for companies looking to leverage AI. By incorporating language structures into pretraining, StructBERT can enhance your company’s language understanding capabilities.

If you want to evolve your company with AI, consider using Large Language Models like StructBERT. It can help you automate customer interactions, redefine your sales processes, and improve customer engagement. To get started with AI, follow these steps:

1. Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
2. Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
3. Select an AI Solution: Choose tools that align with your needs and provide customization.
4. Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.

For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com or stay tuned on our Telegram channel t.me/itinainews and Twitter @itinaicom.

Spotlight on a Practical AI Solution: The AI Sales Bot from itinai.com/aisalesbot is designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. Discover how AI can redefine your sales processes and customer engagement by exploring solutions at itinai.com.

List of Useful Links:

Itinai.com office ai background high tech quantum computing 0002ba7c e3d6 4fd7 abd6 cfe4e5f08aeb 0

Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com

I believe that AI is only as powerful as the human insight guiding it.

Unleash Your Creative Potential with AI Agents

Competitors are already using AI Agents

Business Problems We Solve

  • Automation of internal processes.
  • Optimizing AI costs without huge budgets.
  • Training staff, developing custom courses for business needs
  • Integrating AI into client work, automating first lines of contact

Large and Medium Businesses

Startups

Offline Business

100% of clients report increased productivity and reduced operati

AI news and solutions