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How LotteON built dynamic A/B testing for their personalized recommendation system

This post is co-written with HyeKyung Yang, Jieun Lim, and SeungBum Shim from LotteON. LotteON is transforming itself into an online shopping platform that provides customers with an unprecedented shopping experience based on its in-store and online shopping expertise. Rather than simply selling the product, they create and let customers experience the product through their …

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LLMs, AI Studio, higher quality, oh my! Our latest Translation AI advancements

When it comes to AI use cases, language translation is amongst the most practical and widely adopted by companies and organizations alike. From Canva to Bloomberg, companies have pursued the flywheel of automatic multi-lingual translation, seeking to make content more accessible to employees, customers, communities, and the public. Since introducing the transformer architecture in 2017, …

7 Tools that You Really Need for a Successful Project

Favorite tools for leaders in UX design Source: unsplash.com You can hire new specialists to work effectively on a project and help other team members. Many tools and applications can help you with various tasks, whether writing a text, developing a simple design, working with data, or selling a product. Need a designer for a project? Source: unsplash.com …

Generative Modeling with Phase Stochastic Bridges

This paper introduces a novel generative modeling framework grounded in phase space dynamics, taking inspiration from the principles underlying Critically Damped Langevin Dynamics (CLD). Leveraging insights from stochastic optimal control, we construct a favorable path measure in the phase space that proves highly advantageous for generative sampling. A distinctive feature of our approach is the …

Helping enterprises across regulated industries leverage hybrid cloud and AI

At IBM Cloud, we are committed to helping enterprises across industries leverage hybrid cloud and AI technologies to help them drive innovation. For true transformation to begin, we believe it is key to understand the unique challenges organizations are facing—whether it is keeping data secured, addressing data sovereignty requirements or speeding time to market to …

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Build a Hugging Face text classification model in Amazon SageMaker JumpStart

Amazon SageMaker JumpStart provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including …

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How to Choose the Right Software Maintenance Pricing Model for Your SaaS Development Company?

Choose a Maintenance Service for your SaaS Development Company A Perfect Software Maintenance Pricing Model for SaaS Introduction In today’s rapidly evolving technology landscape, Software-as-a-Service (SaaS) has gained significant popularity. As a SaaS development company, it is crucial to ensure the smooth operation and continuous improvement of your software products. This requires selecting the right software …

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

This paper has been accepted at the Data Problems for Foundation Models workshop at ICLR 2024. Large language models are trained on massive scrapes of the web, which are often unstructured, noisy, and poorly phrased. Current scaling laws show that learning from such data requires an abundance of both compute and data, which grows with …

Revolutionize your talent acquisition strategy: How AI can help you find the right candidates faster

Imagine that you are a talent acquisition manager at a large corporation, and you’re struggling to find suitable candidates for a critical role. Despite posting the description on multiple job boards, the résumés received are either unqualified or uninteresting. This results in wasted valuable time and resources on manual screening, causing frustration among hiring managers. …