Unite.AI

FEBRUARY 7, 2024

LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP). OpenAI, an AI research company, offers various services and models, including GPT-4, DALL-E, CLIP, and DINOv2. LLMs can understand the complexities of human language better than other models.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

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

JUNE 21, 2024

Text embeddings (TEs) are low-dimensional vector representations of texts of different sizes, which are important for many natural language processing (NLP) tasks. Pre-trained language models, like BERT and GPT, have shown great success in various NLP tasks. 7B-instruct model.

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AI Research AI Researcher BERT Natural Language Processing 113

Marktechpost

DECEMBER 13, 2023

The well-known Large Language Models (LLMs) like GPT, BERT, PaLM, and LLaMA have brought in some great advancements in Natural Language Processing (NLP) and Natural Language Generation (NLG). The post This AI Research Shares a Comprehensive Overview of Large Language Models (LLMs) on Graphs appeared first on MarkTechPost.

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Large Language Models AI Research AI Researcher Neural Network 128

Marktechpost

NOVEMBER 10, 2023

NLP, or Natural Language Processing, is a field of AI focusing on human-computer interaction using language. NLP aims to make computers understand, interpret, and generate human language. Recent NLP research has focused on improving few-shot learning (FSL) methods in response to data insufficiency challenges.

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BERT ChatGPT Large Language Models NLP 128

AI Weekly

JANUARY 4, 2024

businessinsider.com Robotics for Kids: The Future With AI and Robotics Education Science, technology, engineering, and math (STEM) focused and clever robotic toys help kids understand the science behind circuits and motion and inspire them to take on more challenging projects in the future.

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Marktechpost

JULY 28, 2024

This extensive training allows the embeddings to capture semantic meanings effectively, enabling advanced NLP tasks. Regular Updates: New models and capabilities are frequently added, reflecting the latest advancements in AI research.

Generative AI 137

Generative AI BERT NLP OpenAI 137

ODSC - Open Data Science

APRIL 11, 2023

A lot goes into NLP. Going beyond NLP platforms and skills alone, having expertise in novel processes, and staying afoot in the latest research are becoming pivotal for effective NLP implementation. We have seen these techniques advancing multiple fields in AI such as NLP, Computer Vision, and Robotics.

NLP 96

NLP Data Science Large Language Models Data Scientist 96

Marktechpost

APRIL 16, 2024

These models use billions of parameters to execute a variety of Natural Language Processing (NLP) tasks. DistilBERT: This model is a simplified and expedited version of Google’s 2018 deep learning NLP AI model, BERT (Bidirectional Encoder Representations Transformer).

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Artificial Intelligence Artificial Intelligence BERT Natural Language Processing 133

Marktechpost

DECEMBER 10, 2023

Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for various linguistic tasks. Autoregressive pretraining has substantially contributed to computer vision in addition to NLP.

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BERT Computer Vision Natural Language Processing NLP 125

Marktechpost

MAY 27, 2024

Knowledge-intensive Natural Language Processing (NLP) involves tasks requiring deep understanding and manipulation of extensive factual information. The primary challenge in knowledge-intensive NLP tasks is that large pre-trained language models need help accessing and manipulating knowledge precisely. Check out the Paper.

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Natural Language Processing NLP BERT AI Researcher 125

Marktechpost

APRIL 4, 2025

We’re using deepset/roberta-base-squad2 , which is: Based on RoBERTa architecture (a robustly optimized BERT approach) Fine-tuned on SQuAD 2.0 Let’s start by installing the necessary libraries: # Install required packages Copy Code Copied Use a different Browser !pip Windows NT 10.0; Windows NT 10.0; replace("[SEP]", "").strip()

AI Modeling 56

AI Modeling NLP AI AI 56

ODSC - Open Data Science

APRIL 1, 2025

GPT-Inspired Architectures for Time Series: Why TheyMatter Taking inspiration from the success of foundation models in NLP , Professor Liu explored whether similar architectures could be applied to time series tasks like forecasting, classification, anomaly detection, and generative modeling. Modeling it demands new approaches. The result?

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BERT ML Engineer Data Science Deep Learning 52

Marktechpost

NOVEMBER 10, 2024

TextBlob A popular Python sentiment analysis toolkit, TextBlob is praised for its ease of use and adaptability while managing natural language processing (NLP) workloads. SpaCy’s simple API and fast processing speed make it easy to use while still being comprehensive enough for more complex NLP applications.

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Python Natural Language Processing BERT NLP 87

Marktechpost

SEPTEMBER 17, 2023

The creation of transformer-based NLP models has sparked advancements in designing and using transformer-based models in computer vision and other modalities. All Credit For This Research Goes To the Researchers on This Project. If you like our work, you will love our newsletter.

Large Language Models 134

Large Language Models Natural Language Processing BERT Computer Vision 134

Unite.AI

NOVEMBER 23, 2023

Introduction The evolution of open large language models (LLMs) has significantly impacted the AI research community, particularly in developing chatbots and similar applications. Another example is TinyBERT, which goes further in optimizing the size and speed for mobile or edge devices.

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LLM Large Language Models BERT NLP 301

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., XLNet obtains state-of-the-art performance on 18 tasks, including question answering, natural language inference, sentiment analysis, and document rating, and it beats BERT on 20 tasks.

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Large Language Models BERT Natural Language Processing Categorization 104

Marktechpost

JANUARY 3, 2024

Natural Language Processing (NLP) tasks extensively make use of text embeddings. Sentence-BERT and SimCSE are two methods that have evolved with the introduction of pre-trained language models. These methods are used to fine-tune models like BERT on Natural Language Inference (NLI) datasets in order to learn text embeddings.

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Artificial Intelligence Artificial Intelligence Large Language Models BERT 109

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

Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. As LLMs grow in complexity and size, systems like Unicron will play an increasingly vital role in harnessing their full potential, driving the frontiers of AI and NLP research forward.

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Computational Linguistics Large Language Models LLM BERT 120

AssemblyAI

MAY 3, 2023

Effective methods allowing for better control, or steerability , of large-scale AI systems are currently in extremely high demand in the world of AI research. The quintessential examples for this distinction are: The BERT model, which stands for Bidirectional Encoder Representations from Transformers.

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Large Language Models Neural Network LLM ChatGPT 363

NVIDIA

FEBRUARY 11, 2025

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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Neural Network Large Language Models Robotics BERT 55

Marktechpost

JULY 1, 2023

Large Language Models (LLMs) have proven to be really effective in the fields of Natural Language Processing (NLP) and Natural Language Understanding (NLU). Famous LLMs like GPT, BERT, PaLM, etc., are being used by researchers to provide solutions in every domain ranging from education and social media to finance and healthcare.

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Large Language Models Natural Language Processing BERT NLP 104

Marktechpost

DECEMBER 23, 2024

While domain experts possess the knowledge to interpret these texts accurately, the computational aspects of processing large corpora require expertise in machine learning and natural language processing (NLP). All credit for this research goes to the researchers of this project. Trending: LG AI Research Releases EXAONE 3.5:

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Large Language Models NLP Natural Language Processing BERT 80

Marktechpost

NOVEMBER 5, 2024

The landscape of AI research is experiencing significant challenges due to the immense computational requirements of large pre-trained language and vision models. Some researchers have developed efficient pre-training recipes for models like BERT variants, achieving faster training times on limited GPUs.

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AI Modeling BERT AI Research AI Researcher 84

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., have also shown great performances in the domain of AI. Check Out The Paper and Github.

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Large Language Models Natural Language Processing BERT Artificial Intelligence 104

Unite.AI

OCTOBER 22, 2024

AI models like neural networks , used in applications like Natural Language Processing (NLP) and computer vision , are notorious for their high computational demands. Models like GPT and BERT involve millions to billions of parameters, leading to significant processing time and energy consumption during training and inference.

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Neural Network Convolutional Neural Networks Deep Learning Natural Language Processing 147

Heartbeat

OCTOBER 10, 2023

One of the most popular techniques for speech recognition is natural language processing (NLP), which entails training machine learning models on enormous amounts of text data to understand linguistic patterns and structures. The RoBERTa model has recently emerged as a powerful tool for NLP tasks, including speech recognition.

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BERT NLP Machine Learning Deep Learning 52

Analytics Vidhya

JUNE 7, 2024

Introduction The field of medical AI has witnessed remarkable advancements in recent years, with the development of powerful language models and datasets driving progress. In this article, we will explore the journey of MedMCQA, a groundbreaking medical question-answering dataset, and its role in shaping the landscape of medical AI.

AI 223

AI AI Large Language Models BERT 223

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.

Large Language Models 98

Large Language Models Natural Language Processing LLM BERT 98

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., Sign up for more AI research updates.

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Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

Marktechpost

JULY 16, 2023

The previous year saw a significant increase in the amount of work that concentrated on Computer Vision (CV) and Natural Language Processing (NLP). In the last few weeks alone, four new papers have been published, each introducing a potentially useful audio model that can make further research in this area much easier.

Large Language Models 98

Large Language Models Categorization Natural Language Processing BERT 98

Mlearning.ai

JUNE 8, 2023

A few embeddings for different data type For text data, models such as Word2Vec , GLoVE , and BERT transform words, sentences, or paragraphs into vector embeddings. What are Vector Embeddings? Pinecone Used a picture of phrase vector to explain vector embedding. All we need is the vectors for the words.

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

Marktechpost

JULY 22, 2023

State-of-the-art large language models (LLMs), including BERT, GPT-2, BART, T5, GPT-3, and GPT-4, have been developed as a result of recent advances in machine learning, notably in the area of natural language processing (NLP). Although in-context learning has been widely investigated in NLP, few applications in computer vision exist.

Computer Vision 52

Computer Vision Large Language Models NLP Natural Language Processing 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Some examples of large language models include GPT (Generative Pre-training Transformer), BERT (Bidirectional Encoder Representations from Transformers), and RoBERTa (Robustly Optimized BERT Approach). They can also be used to improve machine translation, question answering, and language understanding tasks. Google-killer?

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ChatGPT Large Language Models OpenAI Conversational AI 124

AWS Machine Learning Blog

APRIL 29, 2024

To build a production-grade AI system today (for example, to do multilingual sentiment analysis of customer support conversations), what are the primary technical challenges? Historically, natural language processing (NLP) would be a primary research and development expense. We are happy to help you get started.

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ML Python Data Scientist Machine Learning 124

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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