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?

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

<em>[epistemic status: I work in a lab dedicated to biologically plausible neural circuits, so I’m informed on the problem, but probably still biased. There’s probably going be a follow-up post to this once I get a bunch of rebuttals from people smarter than me.]</em>

Deep Learning isn’t the brain

Restormer’s transformer architecture powerfully restores HST images, combining deconvolution and denoising for JWST-level clarity using transfer learning.

Efficient Transformers for Astronomical Images: Deconvolution and Denoising Unleashed

Overview of Large Language Model (LLM) inference, its importance, challenges, and key problem formulation.

Primer on Large Language Model (LLM) Inference Optimizations: 1. Background and Problem Formulation

This paper surveys the evolution of generative AI, highlighting innovations in MoE, multimodality, and AGI while addressing ethical and research challenges.

Surveying the Evolution and Future Trajectory of Generative AI - Innovative Horizon of MOE

Simple explanation of the Transformer model from the revolutionary paper "Attention is All You Need" which is the basis of many advanced AI systems.

Transformers: Age of Attention

New AI model (Rate Card Transformer) analyzes package details (size, carrier etc.) to predict shipping costs more accurately. 

Unveiling the Power of Self-Attention for Shipping Cost Prediction: Experiment

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

FORWARD NETWORKS

forwardnetworks.com

72-221 emps

Since 2013

FORWARD NETWORKS

EVERGREEN INDEX #5535

Forward Networks's stories on HackerNoon

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

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

How An AI Understands Scenes: Panoptic Scene Graph Generation.

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

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

RNN or Recurrent Neural Network for Noobs

Deep Learning isn’t the brain

Efficient Transformers for Astronomical Images: Deconvolution and Denoising Unleashed

Primer on Large Language Model (LLM) Inference Optimizations: 1. Background and Problem Formulation

Surveying the Evolution and Future Trajectory of Generative AI - Innovative Horizon of MOE

Transformers: Age of Attention

Unveiling the Power of Self-Attention for Shipping Cost Prediction: Experiment

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FORWARD NETWORKS

forwardnetworks.com

72-221 emps

Since 2013

FORWARD NETWORKS

EVERGREEN INDEX #5535

Forward Networks's stories on HackerNoon

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

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

How An AI Understands Scenes: Panoptic Scene Graph Generation.

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

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

RNN or Recurrent Neural Network for Noobs

Deep Learning isn’t the brain

Efficient Transformers for Astronomical Images: Deconvolution and Denoising Unleashed

Primer on Large Language Model (LLM) Inference Optimizations: 1. Background and Problem Formulation

Surveying the Evolution and Future Trajectory of Generative AI - Innovative Horizon of MOE

Transformers: Age of Attention

Unveiling the Power of Self-Attention for Shipping Cost Prediction: Experiment

Forward Networks's Related Companies

2014

22.8B

13%

2016

16.8B

2017

15B

2011

13B

2017

13B

2021

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Reviews About Forward Networks

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