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Top 6 NLP Language Models Transforming AI In 2023

Topbots

We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers.

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The Full Story of Large Language Models and RLHF

AssemblyAI

This is heavily due to the popularization (and commercialization) of a new generation of general purpose conversational chatbots that took off at the end of 2022, with the release of ChatGPT to the public. Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives.

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What Are Foundation Models?

NVIDIA

A Brief History of Foundation Models We are in a time where simple methods like neural networks are giving us an explosion of new capabilities, said Ashish Vaswani, an entrepreneur and former senior staff research scientist at Google Brain who led work on the seminal 2017 paper on transformers.

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7 Sessions at ODSC East 2023 to Help You Perform NLP Better

ODSC - Open Data Science

Speaker: Akash Tandon, Co-Founder and Co-author of Advanced Analytics with PySpark | Looppanel and O’Reilly Media Self-Supervised and Unsupervised Learning for Conversational AI and NLP Self-supervised and Unsupervised learning techniques such as Few-shot and Zero-shot learning are changing the shape of AI research and product community.

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The Ascent of ChatGPT

ODSC - Open Data Science

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. and is trained in a manner similar to OpenAI’s earlier InstructGPT, but on conversations.

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70% of Developers Embrace AI Today: Delving into the Rise of Large Language Models, LangChain, and Vector Databases in Current Tech Landscape

Marktechpost

Chatbots – LLMs are frequently utilized in the creation of chatbots and systems that use conversational AI. BERT – Bidirectional Encoder Representations from Transformers (BERT) is one of the first Transformer-based self-supervised language models.

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Generative vs Predictive AI: Key Differences & Real-World Applications

Topbots

Masking in BERT architecture ( illustration by Misha Laskin ) Another common type of generative AI model are diffusion models for image and video generation and editing. While it remains to be seen whether generative AI will become a major productivity driver comparable to predictive AI, its potential is undeniable.