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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. The introduction of word embeddings, most notably Word2Vec, was a pivotal moment in NLP. One-hot encoding is a prime example of this limitation.

BERT 298
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Pankit Desai, Co-Founder and CEO, Sequretek – Interview Series

Unite.AI

In 2013, he co-founded Sequretek with Anand Naik and has played a key role in developing the company into a prominent provider of cybersecurity and cloud security solutions. When we founded the company in 2013, our mission was clear, to make cybersecurity simple and accessible for all, not just the few who could afford it.

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AI News Weekly - Issue #345: Hollywood’s Major Crew Union Debates How to Use AI as Contract Talks Loom - Aug 10th 2023

AI Weekly

Founded in 2013, The Information has built the biggest dedicated newsroom in tech journalism and count many of the world’s most powerful business and tech executives as subscribers. siliconangle.com Sponsor Make Smarter Business Decisions with The Information Looking for a competitive edge in the world of business?

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Hugging Face Releases FineWeb2: 8TB of Compressed Text Data with Almost 3T Words and 1000 Languages Outperforming Other Datasets

Marktechpost

The field of natural language processing (NLP) has grown rapidly in recent years, creating a pressing need for better datasets to train large language models (LLMs). Spanning 8 terabytes of compressed text dataroughly equivalent to 3 trillion wordsFineWeb 2 draws from 96 CommonCrawl snapshots collected between 2013 and April 2024.

NLP 90
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Why BERT is Not GPT

Towards AI

It all started with Word2Vec and N-Grams in 2013 as the most recent in language modelling. Word embedding is a technique in natural language processing (NLP) where words are represented as vectors in a continuous vector space. 2013 Word2Vec is a neural network model that uses n-grams by training on context windows of words.

BERT 104
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Jeff Kofman, Founder & CEO of Trint – Interview Series

Unite.AI

I had a casual conversation with some software developers who had done some rudimentary experiments with audio and text (not transcription) in 2013. NLP and speech processing algorithms are part of our day-to-day, but we will investigate any creative ways to use AI to help journalists extract information from videos, audios and images.

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Truveta LLM: FirstLarge Language Model for Electronic Health Records

Towards AI

In the last few years, if you google healthcare or clinical NLP, you would see that the search results are blanketed by a few names like John Snow Labs (JSL), Linguamatics (IQVIA), Oncoustics, BotMD, Inspirata. All of these companies were founded between 2013–2016 in various parts of the world. Originally published on Towards AI.

LLM 97