FeedFlo

The wait is over! After a very exciting competition throughout this past year, the results for the 2023 Startups of the Year, North America are here!

Startups of The Year 2023 Winners: North America 

Create a deep learning framework from scratch! 

How to Build Feedforward Neural Networks: A Step-by-Step Guide 

Building a Feedforward Neural Network from Scratch in Python

Feedforward neural networks are also known as <strong>Multi-layered Network of Neurons</strong> (MLN). These networks of models are called feedforward because the information only travels forward in the neural network, through the input nodes then through the hidden layers (single or many layers) and finally through the output nodes. In MLN there are no feedback connections such that the output of the network is fed back into itself. These networks are represented by a combination of many simpler models(sigmoid neurons).

Deep Learning: Feedforward Neural Networks Explained

We propose a hierarchical speech synthesizer as the backbone speech synthesizer for HierSpeech++

The Backbone Speech Synthesizer for HierSpeech++

Discover the architectural details of Mixtral, a transformer-based language model that employs SMoE layers, supporting a dense context length of 32k tokens.

Understanding the Mixture of Experts Layer in Mixtral

Discover Mixtral 8x7B, a Sparse Mixture of Experts (SMoE) language model, trained with a context size of 32k tokens with access to 47B parameters. 

Mixtral—a Multilingual Language Model Trained with a Context Size of 32k Tokens 

Explore the inner workings of decoder-only transformers in LLMs, focusing on self-attention networks and the challenges of keys/values caching during inference.

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FEEDFLO

feedflo.com

employees

Since n.d.

COMPANY RANKING

FEEDFLO

EVERGREEN INDEX #10089

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