AssemblyAI

MAY 3, 2023

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.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Marktechpost

MARCH 1, 2024

The prowess of Large Language Models (LLMs) such as GPT and BERT has been a game-changer, propelling advancements in machine understanding and generation of human-like text. These models have mastered the intricacies of language, enabling them to tackle tasks with remarkable accuracy.

Large Language Models 111

Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 111

NVIDIA

FEBRUARY 11, 2025

That work inspired researchers who created BERT and other large language models , making 2018 a watershed moment for natural language processing, a report on AI said at the end of that year. Google released BERT as open-source software , spawning a family of follow-ons and setting off a race to build ever larger, more powerful LLMs.

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Neural Network Large Language Models Robotics BERT 55

Mlearning.ai

JUNE 7, 2023

Photo by Eugene Zhyvchik on Unsplash I wanted to share a short perspective of the radical evolution we have seen in NLP. I’ve been working on NLP problems since word2vec was released, and it has been remarkable to see how quickly the models, problems, and applications have evolved. GPT-2 released with 1.5

Natural Language Processing 52

Natural Language Processing BERT NLP ChatGPT 52

ODSC - Open Data Science

FEBRUARY 14, 2023

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. Google-killer?

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ChatGPT Large Language Models OpenAI Conversational AI 124

ODSC - Open Data Science

JUNE 9, 2023

The last 12 years though, is where some of the big magic has happened in NLP. Word vectorization is an NLP methodology used to map words or phrases from a vocabulary to a corresponding vector of real numbers used to find word predictions and word similarities or semantics. BERT was designed to understand the meanings of sentences.

Natural Language Processing 52

Natural Language Processing ChatGPT Generative AI BERT 52

ODSC - Open Data Science

JANUARY 17, 2025

Implicit Learning of Intent : LLMs like GPT, BERT, or other transformer-based models learn to predict the next word or fill in missing text based on surrounding context. Future Directions and Challenges As research in AI and NLP advances, we can expect significant improvements in intent recognition capabilities.

NLP 40

NLP Natural Language Processing BERT Chatbots 40

Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. Almost every industry is utilizing the potential of AI and revolutionizing itself.

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Large Language Models Natural Language Processing LLM BERT 98

AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. device batch = [t.to(device) device batch = [t.to(device)

Deep Learning 114

Deep Learning Conversational AI Natural Language Processing BERT 114

Topbots

OCTOBER 4, 2023

The basic difference is that predictive AI outputs predictions and forecasts, while generative AI outputs new content. Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., a social media post or product description).

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

Pickl AI

DECEMBER 5, 2024

Summary: Retrieval Augmented Generation (RAG) is an innovative AI approach that combines information retrieval with text generation. By leveraging external knowledge sources, RAG enhances the accuracy and relevance of AI outputs, making it essential for applications like conversational AI and enterprise search.

Natural Language Processing 52

Natural Language Processing Conversational AI Chatbots Artificial Intelligence 52

Topbots

JULY 6, 2023

To test this suggestion, they trained a 175B-parameter autoregressive language model, called GPT-3 , and evaluated its performance on over two dozen NLP tasks. However, unlike most language models, LaMDA was trained on dialogue to pick up on nuances that distinguish open-ended conversation from other forms of language.

LLM 52

LLM Large Language Models Natural Language Processing NLP 52

Topbots

JUNE 15, 2023

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 2 ] Multilingual models perform worse on several NLP tasks on low resource languages than on high resource languages such as English.[ Are All Languages Created Equal in Multilingual BERT?

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Natural Language Processing Computational Linguistics NLP ChatGPT 59

ML Review

DECEMBER 16, 2019

The main venue alone had more than 100 graph-related publications, and even more were available at three workshops: Graph Representation Learning (about 100 more papers), Knowledge Representation & Reasoning Meets Machine Learning (KR2ML) (about 50 papers), Conversational AI. So we’ll consider all events jointly. Have a look ?

Machine Learning 52

Machine Learning Neural Network Explainability NLP 52

Snorkel AI

AUGUST 24, 2023

Then, they can distill that model’s expertise into a deployable form by having it “teach” a smaller model like BERT and applying it to their specific problem. Banks can use these models to fine-tune their interactive voice responses and train conversational AI to automatically respond to queries over chat, email, and text.

Large Language Models 52

Large Language Models Natural Language Processing AI AI 52

Unite.AI

FEBRUARY 8, 2025

Models like BERT and GPT took language understanding to new depths by grasping the context of words more effectively. ChatGPT, for instance, revolutionized conversational AI , transforming customer service and content creation. The future of AI with transformers is about refining their abilities and applying them responsibly.

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Convolutional Neural Networks Neural Network Natural Language Processing Robotics 272

NYU Center for Data Science

JUNE 30, 2023

When Eric became a neurosurgeon, the idea fully formulated when he considered the usefulness of having an AI assistant who could read along with him and chime in with advice. Through this work, I have become interested in learning more about conversational AI, interpretability, privacy and fairness, and causality.

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Large Language Models Natural Language Processing NLP Computer Scientist 116

Topbots

JUNE 6, 2023

In October 2022, I published an article on LLM selection for specific NLP use cases , such as conversation, translation and summarisation. Since then, AI has made a huge step forward, and in this article, we will review some of the trends of the past months as well as their implications for AI builders.

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LLM ChatGPT Prompt Engineer Prompt Engineering 105