Forward Networks

Introducing CulturaX: a 6.3 trillion-token multilingual dataset in 167 languages, meticulously cleaned and deduplicated for training high-performing LLMs.

CulturaX: A High-Quality, Multilingual Dataset for LLMs - Conclusion and References

Efficiently run large language models on devices with limited DRAM by optimizing flash memory use, reducing data transfer, and enhancing throughput.

Large Language Models on Memory-Constrained Devices Using Flash Memory: Optimized Data in DRAM

Explore the groundbreaking AI technology of Panoptic Scene Graph Generation with Transformers for a deeper understanding of visual scenes.

How An AI Understands Scenes: Panoptic Scene Graph Generation.

To succeed in providing an excellent user experience, website managers must know more than just which keywords people are entering.

What are the Types of Neural Networks and How Do They Work?

RNN is one of the popular neural networks that is commonly used to solve natural language processing tasks.

What is an RNN (Recurrent Neural Network) in Deep Learning?

PyTorch has sort of became one of the de facto standard for creating Neural Networks now, and I love its interface. Yet, it is somehow a little difficult for beginners to get a hold of.

The Hitchhikers's Guide to PyTorch for Data Scientists

This tutorial is the sixth one from a series of tutorials that would help you build an abstractive text summarizer using tensorflow&nbsp;, today we would build an abstractive text summarizer in tensorflow in an optimized way&nbsp;.

Build an Abstractive Text Summarizer in 94 Lines of Tensorflow !! (Tutorial 6)

What is a Recurrent Neural Network or RNN, how it works, where it can be used? This article tries to answer the above questions. It also shows a demo implementation of a RNN used for a specific purpose, but you would be able to generalise it for your needs.

RNN or Recurrent Neural Network for Noobs

The software used to manage networks hasn’t kept up with the dramatic expansion of networks themselves

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