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Enhancing Sentiment Analysis with ModernBERT

Analytics Vidhya

Since its introduction in 2018, BERT has transformed Natural Language Processing. It performs well in tasks like sentiment analysis, question answering, and language inference. However, despite its success, BERT has limitations.

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Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud

Analytics Vidhya

Introduction Welcome to the world of Large Language Models (LLM). However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). This paper explored models using fine-tuning and transfer learning.

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Transformer Models: The future of Natural Language Processing

Data Science Dojo

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.

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Transformer Models: The future of Natural Language Processing

Data Science Dojo

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.

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Google Duplex

Dataconomy

Natural language processing: Google Duplex applies advanced natural language understanding and generation techniques to facilitate interactive conversations that feel human-like. Technological foundation of Google Duplex To achieve its impressive functionality, Google Duplex leverages several core technologies.

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A Quick Recap of Natural Language Processing

Mlearning.ai

I worked on an early conversational AI called Marcel in 2018 when I was at Microsoft. In 2018 when BERT was introduced by Google, I cannot emphasize how much it changed the game within the NLP community. Submission Suggestions A Quick Recap of Natural Language Processing was originally published in MLearning.ai

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Siri

Dataconomy

Timeline of key milestones Launch of Siri with the iPhone 4S in 2011 Expansion to iPads and Macs in 2013 Introduction of Siri to Apple TV and the HomePod in 2018 The anticipated Apple Intelligence update in 2024, enhancing existing features How does Siri work?