Salesforce Research

Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. There has been a meteoric rise in people using and researching Large Language Models (LLMs), particularly...
The introduction of incredible Large Language Models (LLMs) has been nothing short of groundbreaking in the field of Artificial Intelligence. The way humans engage with technology has changed as a result of these complex algorithms, which...

Salesforce Presents AI Summarist: A Conversational AI Tool That Helps User Manage Their Information Consumption As Per Their Work Preferences

Slack is an effective productivity tool used by professionals and teams worldwide to stay in touch and update on the latest work-related information in...

Salesforce AI Introduces ‘BotSIM,’ a Data-Efficient End-to-End Bot SIMulation Toolkit for the Evaluation, Diagnosis, and Improvement of Commercial Task-Oriented Dialogue Systems

When trying to make an online hotel reservation or online purchase, a customer will likely come in contact with chatbots on a business website....

Salesforce AI Introduces an Automated Method for Evaluating the Quality of Artificial Intelligence-Generated Text by Repurposing Prior Human Evaluation Data

The growth of over 100 remarkable language translation models and other advances linked to book summarizing or collaborative creative writing highlight recent advancements in...

Salesforce AI Developed FSNet (Fast and Slow Learning Network) for Deep Time-Series Forecasting, Which can Learn Deep Forecasting Models on the Fly in a...

Time series forecasting, also known as predicting future values based on historical data, is crucial to solving many real-world issues ranging from weather forecasts...

Salesforce AI Research Proposes ‘DeepTime,’ A Deep Time-Index Based Model Trained Via A Meta-Learning Formulation To Automatically Learn A Representation Function From Time-Series Data

In many commercial and scientific applications, the challenge of forecasting or predicting future values based on historical values is crucial. This is because forecasting...

Salesforce AI Research Proposes A ‘Burn After Reading’ Framework For Data Privacy Where User Data Samples Are Immediately Deleted After They’re Processed

With the pandemic's arrival, the internet has become an even more integral part of everyone's daily existence. Because of the interconnectedness of our modern...

Salesforce AI Open-Sources ‘LAVIS,’ A Deep Learning Library For Language-Vision Research/Applications

Recent years have seen remarkable development in the creation of sophisticated language-vision models. Real-world applications rely heavily on multimodal material, particularly language-vision data, which...

In a Latest Machine Learning Research, Salesforce AI Team Developed a New Time-Series Forecasting Model Called ETSformer Which Exploits The Principle of Exponential Smoothing...

Time-series forecasting has gained tremendous importance in recent times. The task of making future predictions based on previous data, particularly numerical data gathered in...

Salesforce AI Propose A Novel Framework That Trains An Open Vocabulary Object Detector With Pseudo Bounding-Box Labels Generated From Large-Scale Image-Caption Pairs

One of the main functions of computer vision is object detection, which continues to draw a lot of academic attention. These algorithms give excellent...

Salesforce AI Open-Sources ‘OmniXAI’: A Python-based Machine Learning Library That Provides One-Stop Explainable AI (XAI) Solution To analyze, Debug, And Interprets AI Models

Artificially Intelligent models, particularly those based on deep neural networks, have been viewed as black-box models since the rise of machine learning. This is...

Salesforce Researchers Open-Source ‘Taichi’: A Python Library For Few-Shot NLP

This Article is written as a summay by Marktechpost Staff based on the article 'TaiChi: Open Source Library for Few-Shot NLP'. All Credit For...

Salesforce AI Research Introduces RnG-KBQA: A Novel Framework That Solves Generalization Challenges In Question Answering Over Knowledge Bases

This Article is written as a summay by Marktechpost Staff based on the research paper 'RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question...

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