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NLP Rise with Transformer Models | A Comprehensive Analysis of T5, BERT, and GPT

Unite.AI

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. BERT T5 (Text-to-Text Transfer Transformer) : Introduced by Google in 2020 , T5 reframes all NLP tasks as a text-to-text problem, using a unified text-based format.

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An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP

Analytics Vidhya

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code. LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP).

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The Role of Vector Databases in Modern Generative AI Applications

Unite.AI

Take, for instance, word embeddings in natural language processing (NLP). Creating embeddings for natural language usually involves using pre-trained models such as: GPT-3 and GPT-4 : OpenAI's GPT-3 (Generative Pre-trained Transformer 3) has been a monumental model in the NLP community with 175 billion parameters.

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Beyond Search Engines: The Rise of LLM-Powered Web Browsing Agents

Unite.AI

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. The architecture of LLM-based agents consists of the following modules.

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A Quick Recap of Natural Language Processing

Mlearning.ai

In 2018 when BERT was introduced by Google, I cannot emphasize how much it changed the game within the NLP community. This ability to understand long-range dependencies helps transformers better understand the context of words and achieve superior performance in natural language processing tasks. GPT-2 released with 1.5

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Nomic AI Releases the First Fully Open-Source Long Context Text Embedding Model that Surpasses OpenAI Ada-002 Performance on Various Benchmarks

Marktechpost

In the evolving landscape of natural language processing (NLP), the ability to grasp and process extensive textual contexts is paramount. 2023), have significantly propelled the capabilities of language models, particularly through the development of text embeddings. 2021), Izacard et al. 2022), and Ram et al.

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