Remove Auto-complete Remove Computational Linguistics Remove Deep Learning
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Bigram Models Simplified

Towards AI

Bigram Models Simplified Image generated by ChatGPT Introduction to Text Generation In Natural Language Processing, text generation creates text that can resemble human writing, ranging from simple tasks like auto-completing sentences to complex ones like writing articles or stories.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications. LLMs leverage deep learning architectures to process and understand the nuances and context of human language. How Do Large Language Models Work?

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A Gentle Introduction to GPTs

Mlearning.ai

It combines techniques from computational linguistics, probabilistic modeling, deep learning to make computers intelligent enough to grasp the context and the intent of the language. The auto-complete feature on your smartphone is based on this principle.

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Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

AWS Machine Learning Blog

Hyperparameter optimization is highly computationally demanding for deep learning models. script will create the VPC, subnets, auto scaling groups, the EKS cluster, its nodes, and any other necessary resources. When this step is complete, delete the cluster by using the following script in the eks folder: /eks-delete.sh

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