Marktechpost

JANUARY 12, 2024

One of the most important areas of NLP is information extraction (IE), which takes unstructured text and turns it into structured knowledge. At the same time, Llama and other large language models have emerged and are revolutionizing NLP with their exceptional text understanding, generation, and generalization capabilities.

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Large Language Models Chatbots BERT NLP 131

Topbots

APRIL 11, 2023

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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NLP BERT Large Language Models Natural Language Processing 98

Marktechpost

NOVEMBER 10, 2023

NLP, or Natural Language Processing, is a field of AI focusing on human-computer interaction using language. Text analysis, translation, chatbots, and sentiment analysis are just some of its many applications. NLP aims to make computers understand, interpret, and generate human language. This process enhances data diversity.

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BERT ChatGPT Large Language Models NLP 130

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

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Auto-complete ChatGPT Large Language Models Neural Network 240

AI Weekly

JANUARY 4, 2024

macdailynews.com The Evolution Of AI Chatbots For Finance And Accounting At the end of 2023, these key components have rapidly merged through the evolution of large language models (LLMs) like ChatGPT and others. Sissie Hsiao, Google Sissie Hsiao, Google's vice president and the general manager of Bard and Google Assistant.

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Robotics Artificial Intelligence Artificial Intelligence Large Language Models 222

John Snow Labs

AUGUST 22, 2023

John Snow Labs , the award-winning Healthcare AI and NLP company, announced the latest major release of its Spark NLP library – Spark NLP 5 – featuring the highly anticipated support for the ONNX runtime. State-of-the-Art Accuracy, 100% Open Source The Spark NLP Models Hub now includes over 500 ONYX-optimized models.

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NLP LLM BERT Chatbots 98

Unite.AI

DECEMBER 4, 2023

GPT 3 and similar Large Language Models (LLM) , such as BERT , famous for its bidirectional context understanding, T-5 with its text-to-text approach, and XLNet , which combines autoregressive and autoencoding models, have all played pivotal roles in transforming the Natural Language Processing (NLP) paradigm.

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Large Language Models BERT Neural Network Natural Language Processing 217

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.

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Large Language Models Neural Network LLM ChatGPT 363

Marktechpost

MAY 2, 2024

Natural language processing (NLP) focuses on enabling computers to understand and generate human language, making interactions more intuitive and efficient. Recent developments in this field have significantly impacted machine translation, chatbots, and automated text analysis. Check out the Paper and GitHub.

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BERT NLP Natural Language Processing Artificial Intelligence 124

Unite.AI

FEBRUARY 23, 2024

The journey continues with “NLP and Deep Learning,” diving into the essentials of Natural Language Processing , deep learning's role in NLP, and foundational concepts of neural networks. Building a customer service chatbot using all the techniques covered in the course.

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Prompt Engineering Prompt Engineer Large Language Models ChatGPT 273

Unite.AI

AUGUST 1, 2023

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry.

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Prompt Engineering Prompt Engineer ChatGPT Convolutional Neural Networks 246

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., Chatbot/support agent assist Tools like LaMDA, Rasa, Cohere, Forethought, and Cresta can be used to power chatbots or enhance the productivity of customer care personnel.

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Large Language Models BERT Natural Language Processing Categorization 105

Unite.AI

JANUARY 23, 2024

From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Unlike traditional NLP models which rely on rules and annotations, LLMs like GPT-3 learn language skills in an unsupervised, self-supervised manner by predicting masked words in sentences.

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Large Language Models Prompt Engineer Prompt Engineering LLM 100

John Snow Labs

MAY 26, 2023

Sentence embeddings with Transformers are a powerful natural language processing (NLP) technique that use deep learning models known as Transformers to encode sentences into fixed-length vectors that can be used for a variety of NLP tasks. Introduction to Spark NLP Spark NLP is an open-source library maintained by John Snow Labs.

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ODSC - Open Data Science

SEPTEMBER 18, 2023

Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. To get you started on your journey, we’ve released a new on-demand Introduction to NLP course. Here are some more details.

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NLP Neural Network Deep Learning Large Language Models 52

John Snow Labs

JUNE 27, 2023

Are you curious about the groundbreaking advancements in Natural Language Processing (NLP)? Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. Ever wondered how machines can understand and generate human-like text?

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Large Language Models BERT Natural Language Processing NLP 52

Towards AI

DECEMBER 28, 2023

The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP). Major language models like GPT-3 and BERT often come with Python APIs, making it easy to integrate them into various applications.

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Large Language Models Natural Language Processing Prompt Engineering Prompt Engineer 120

AssemblyAI

SEPTEMBER 18, 2023

Original natural language processing (NLP) models were limited in their understanding of language. From chatbots that provide human-like interactions to tools that can draft articles or assist in creative writing, LLMs have expanded the horizons of what's possible with AI-driven language tasks. LLMs generate text.

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Large Language Models BERT Auto-complete LLM 130

Flipboard

JUNE 20, 2023

Training experiment: Training BERT Large from scratch Training, as opposed to inference, is a finite process that is repeated much less frequently. Training a well-performing BERT Large model from scratch typically requires 450 million sequences to be processed. The first uses traditional accelerated EC2 instances.

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Machine Learning BERT Deep Learning ML Engineer 123

John Snow Labs

SEPTEMBER 26, 2023

Experts Share Perspectives on How Advanced NLP Technologies Will Shape Their Industries and Unleash Better & Faster Results. NLP algorithms can sift through vast medical literature to aid diagnosis, while LLMs facilitate smoother patient-doctor interactions. According to the data collected by Forbes , over a half (53.3%

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Artificial Corner

JULY 30, 2023

Natural Language Processing (NLP) is a subfield of artificial intelligence. BERT (Bidirectional Encoder Representations from Transformers) — developed by Google. RoBERTa (Robustly Optimized BERT Approach) — developed by Facebook AI. T5 (Text-to-Text Transfer Transformer) — developed by Google.

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Large Language Models LLM Natural Language Processing Deep Learning 87

Marktechpost

JUNE 12, 2023

This chatbot, based on Natural Language Processing (NLP) and Natural Language Understanding (NLU), allows users to generate meaningful text just like humans. Other LLMs, like PaLM, Chinchilla, BERT, etc., It meaningfully answers questions, summarizes long paragraphs, completes codes and emails, etc.

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Large Language Models Natural Language Processing BERT Artificial Intelligence 105

Bitext

JULY 12, 2023

Password Protected To view this protected post, enter the password below: Password: Submit The post Protected: Enhancing Traditional NLUs with LLMs: Exploring the Case of Rasa NLU + BERT LLMs appeared first on Bitext. chatbots that work. We help AI understand humans.

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Towards AI

SEPTEMBER 26, 2024

Featured Community post from the Discord Mahvin_ built a chatbot using ChatGPT. If you are interested in NLP, contact him in the thread! When using an encoder-only language model such as Bert or RoBERTa, if we start from a pre-trained model, the main tasks that can be performed are classification and regression.

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Neural Network BERT Explainability AI 105

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. Chatbots – LLMs are frequently utilized in the creation of chatbots and systems that use conversational AI.

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Large Language Models Natural Language Processing LLM BERT 98

Unite.AI

JUNE 20, 2024

Large Language Models (LLMs) are capable of understanding and generating human-like text, making them invaluable for a wide range of applications, such as chatbots, content generation, and language translation. However, deploying LLMs can be a challenging task due to their immense size and computational requirements.

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Large Language Models LLM Metadata BERT 130

Snorkel AI

MARCH 1, 2023

BERT BERT, an acronym that stands for “Bidirectional Encoder Representations from Transformers,” was one of the first foundation models and pre-dated the term by several years. BERT proved useful in several ways, including quantifying sentiment and predicting the words likely to follow in unfinished sentences.

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BERT Natural Language Processing Large Language Models Neural Network 83

Unite.AI

SEPTEMBER 13, 2024

This is a crucial advancement in real-time applications such as chatbots, recommendation systems, and autonomous systems that require quick responses. Natural Language Processing (NLP) : TensorRT improves the speed of NLP tasks like text generation, translation, and summarization, making them suitable for real-time applications.

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Large Language Models LLM Auto-complete Natural Language Processing 130

ODSC - Open Data Science

JUNE 9, 2023

1966: ELIZA In 1966, a chatbot called ELIZA took the computer science world by storm. ELIZA was rudimentary but felt believable and was an incredible leap forward for chatbots. Since it was one of the first chatbots ever designed, it was also one of the first programs capable of attempting the Turing Test.

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Pickl AI

DECEMBER 26, 2024

Semantic search uses Natural Language Processing (NLP) and Machine Learning to interpret the intent behind a users query, enabling more accurate and contextually relevant results. Embedding models are the backbone of semantic search, powering applications in Natural Language Processing (NLP), recommendation systems, and more.

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BERT Natural Language Processing Machine Learning NLP 52

Pickl AI

DECEMBER 5, 2024

It is ideal for creating robust AI solutions across various industries, from chatbots to personalised recommendation systems. Ideal for building intelligent chatbots, personalised recommendations, and automated content generation. Integration with LLMs LangChain shines in its integration with LLMs like GPT , BERT, and others.

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Chatbots BERT Natural Language Processing Automation 52

Topbots

OCTOBER 4, 2023

Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., spam vs. not spam), while generative NLP models can create new text based on a given prompt (e.g., a social media post or product description).

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AWS Machine Learning Blog

JUNE 12, 2023

Some of the other useful properties of the architecture compared to previous generations of natural language processing (NLP) models include the ability distribute, scale, and pre-train. Transformers-based models can be applied across different use cases when dealing with text data, such as search, chatbots, and many more.

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Auto-classification Deep Learning Computer Vision Machine Learning 90

Chatbots Life

MAY 12, 2023

As everything is explained from scratch but extensively I hope you will find it interesting whether you are NLP Expert or just want to know what all the fuss is about. It is simply more efficient to train one model for various NLP as knowledge from one task can be used in another one boosting the overall cognitive abilities of the model.

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ChatGPT Software Engineer NLP Prompt Engineer 94

NVIDIA Developer

JUNE 2, 2021

Applications for natural language processing (NLP) have exploded in the past decade. With the proliferation of AI assistants and organizations infusing their businesses with more interactive human-machine experiences, understanding how NLP techniques can be used to manipulate, analyze, and generate text-based data is essential.

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Dlabs.ai

AUGUST 10, 2020

Clearly, chatbots are here to stay. Not all are made equal, however – the choice of technology is what sets great chatbots apart from the rest. Despite 80% of surveyed businesses wanting to use chatbots in 2020 , how many do you think will implement them well? AI researchers have been building chatbots for well over sixty years.

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Natural Language Processing Chatbots Neural Network Machine Learning 52

Viso.ai

JULY 9, 2024

But, there are open source models like German-BERT that are already trained on huge data corpora, with many parameters. Through transfer learning, representation learning of German-BERT is utilized and additional subtitle data is provided. Some common free-to-use pre-trained models include BERT, ResNet , YOLO etc.

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Neural Network BERT Deep Learning Computer Vision 52