Onegen
  • Services
  • Products
    • OneSight
    • OneTune (Fine-tuning)
  • Case Studies
  • AI Use Cases
    • Banking & Finance
    • Healthcare
    • Retail & Ecomm
    • Automotive
    • Media & Entertainment
    • Real Estate
    • Manufacturing
    • Education
    • Fashion
    • Travel
    • Information Technology
  • Blog
  • Book a meeting
Select Page

T5X: Streamlining TPU VM Setup for Advanced NLP with Google Research

by Zainul Abideen | Jul 6, 2025

Introduction T5X is an innovative project developed by Google Research that facilitates the deployment of advanced Natural Language Processing (NLP) models on TPU (Tensor Processing Unit) virtual machines. This blog post will guide you through the essential features,...

CausalML: Advanced Uplift Modeling and Causal Inference for Data-Driven Decisions

by Zainul Abideen | Jul 6, 2025

Introduction CausalML is a powerful Python package designed for uplift modeling and causal inference using machine learning algorithms. Developed by Uber, this library provides a comprehensive suite of tools to estimate the Conditional Average Treatment Effect (CATE)...

Optimize NLP Training with Composer’s Sequence Length Warmup for WordPress Developers

by Zainul Abideen | Jul 6, 2025

Introduction Natural Language Processing (NLP) has become a cornerstone of modern AI applications, and optimizing training processes is crucial for achieving high performance. The Composer library introduces a powerful technique known as Sequence Length Warmup, which...

ColossalAI: Streamlining Distributed Training for Large Models in PyTorch

by Zainul Abideen | Jul 6, 2025

Introduction ColossalAI is an innovative open-source project designed to tackle the complexities of distributed training for large models in machine learning. As the demand for larger and more sophisticated models grows, so does the need for efficient training...

Efficient Distributed Training with FairScale: A Deep Dive into Its Features and Setup

by Zainul Abideen | Jul 6, 2025

Introduction FairScale is an open-source library developed by Facebook Research that provides advanced features for distributed training in PyTorch. It aims to simplify the process of scaling deep learning models across multiple GPUs and nodes, making it easier for...
« Older Entries
Next Entries »
Manage Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
  • Manage options
  • Manage services
  • Manage {vendor_count} vendors
  • Read more about these purposes
View preferences
  • {title}
  • {title}
  • {title}