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 128

Marktechpost

APRIL 25, 2024

Are you curious about the intricate world of large language models (LLMs) and the technical jargon that surrounds them? LLM (Large Language Model) Large Language Models (LLMs) are advanced AI systems trained on extensive text datasets to understand and generate human-like text.

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Large Language Models LLM Neural Network Natural Language Processing 128

Unite.AI

DECEMBER 8, 2023

Mostly, large language models' feedforward layers hold the most parameters. Studies show that these models use only a fraction of available neurons for output computation during inference. This article introduces UltraFastBERT, a BERT-based framework matching the efficacy of leading BERT models but using just 0.3%

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BERT Neural Network Large Language Models Algorithm 309

Marktechpost

JULY 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. The architecture processes tokenized input through embedding layers, applies multi-headed self-attention, and incorporates positional encoding to retain sequence order information.

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Large Language Models Neural Network Natural Language Processing LLM 124

Flipboard

JULY 4, 2023

Large Language Models have shown immense growth and advancements in recent times. The field of Artificial Intelligence is booming with every new release of these models. Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans.

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Large Language Models Machine Learning Natural Language Processing BERT 138

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). If you like our work, you will love our newsletter.

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Large Language Models AI Researcher AI Research Neural Network 126

Marktechpost

JANUARY 8, 2024

The increasing reliance on cloud-hosted large language models for inference services has raised privacy concerns, especially when handling sensitive data. Secure Multi-Party Computing (SMPC) has emerged as a solution for preserving the privacy of both inference data and model parameters. Check out the Paper.

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Large Language Models Machine Learning BERT Algorithm 114

Marktechpost

SEPTEMBER 17, 2023

Large language models (LLMs) built on transformers, including ChatGPT and GPT-4, have demonstrated amazing natural language processing abilities. The creation of transformer-based NLP models has sparked advancements in designing and using transformer-based models in computer vision and other modalities.

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Large Language Models Natural Language Processing BERT Computer Vision 132

Marktechpost

JANUARY 10, 2024

BERT is a language model which was released by Google in 2018. It is based on the transformer architecture and is known for its significant improvement over previous state-of-the-art models. BERT-Base reached an average GLUE score of 83.2% hours taken by BERT-Large. hours compared to 23.35

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BERT Large Language Models Natural Language Processing NLP 126

Marktechpost

JULY 4, 2023

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size.

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Large Language Models BERT Natural Language Processing Categorization 103

AssemblyAI

MAY 23, 2023

ChatGPT is part of a group of AI systems called Large Language Models (LLMs) , which excel in various cognitive tasks involving natural language. In the context of language models, an increase in number of parameters translates to an increase in an LM’s storage capacity.

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Large Language Models Neural Network LLM Chatbots 130

Unite.AI

MAY 29, 2024

This method involves hand-keying information directly into the target system. But these solutions cannot guarantee 100% accurate results. Text Pattern Matching Text pattern matching is a method for identifying and extracting specific information from text using predefined rules or patterns.

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Data Extraction Neural Network Large Language Models NLP 271

Unite.AI

FEBRUARY 7, 2024

But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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Machine Learning Large Language Models LLM BERT 291

Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. Let’s break down the key components: Model Definition TensorRT-LLM allows you to define LLMs using a simple Python API.

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Large Language Models LLM Natural Language Processing Auto-complete 130

Marktechpost

APRIL 6, 2024

Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and Claude Series, etc. The introduction of the transformer architecture has provided a new paradigm for building models that understand and generate human language with unprecedented accuracy and fluency.

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Large Language Models NLP Convolutional Neural Networks Neural Network 120

AWS Machine Learning Blog

FEBRUARY 6, 2024

In this solution, we fine-tune a variety of models on Hugging Face that were pre-trained on medical data and use the BioBERT model, which was pre-trained on the Pubmed dataset and performs the best out of those tried. We implemented the solution using the AWS Cloud Development Kit (AWS CDK).

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Large Language Models BERT NLP Data Scientist 115

Unite.AI

APRIL 17, 2024

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. Beyond traditional search engines, these models represent a new era of intelligent Web browsing agents that go beyond simple keyword searches.

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LLM BERT Natural Language Processing NLP 236

Towards AI

JUNE 12, 2024

Photo by david clarke on Unsplash The most recent breakthroughs in language models have been the use of neural network architectures to represent text. There is very little contention that large language models have evolved very rapidly since 2018. Both BERT and GPT are based on the Transformer architecture.

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BERT Neural Network Natural Language Processing NLP 104

Unite.AI

APRIL 25, 2024

Recent innovations include the integration and deployment of Large Language Models (LLMs), which have revolutionized various industries by unlocking new possibilities. More recently, LLM-based intelligent agents have shown remarkable capabilities, achieving human-like performance on a broad range of tasks.

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LLM Large Language Models Software Development BERT 198

Marktechpost

MARCH 3, 2025

Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. Recent fine-tuning advancements masked these issues but failed to modernize the core models. faster than ModernBERT, despite larger size.

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BERT Data Scarcity Natural Language Processing Large Language Models 73

Unite.AI

OCTOBER 11, 2023

It can find information based on meaning and remember things for a long time. These models are trained on diverse datasets, enabling them to create embeddings that capture a wide array of linguistic nuances. Semantic Information Retrieval : Traditional search methods rely on exact keyword matches.

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AWS Machine Learning Blog

JUNE 18, 2024

Name entity recognition (NER) is the process of extracting information of interest, called entities , from structured or unstructured text. Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. For this post, we used Amazon SageMaker notebooks with ml.t3.medium

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Large Language Models Natural Language Processing LLM Computer Vision 120

Marktechpost

AUGUST 7, 2023

It has been able to successfully improve the performance of various NLP tasks, such as sentiment analysis, question answering, natural language inference, named entity recognition, and textual similarity. Models like GPT, BERT, and PaLM are getting popular for all the good reasons.

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BERT NLP Natural Language Processing Large Language Models 98

Flipboard

FEBRUARY 16, 2023

In order to bring down training time from weeks to days, or days to hours, and distribute a large model’s training job, we can use an EC2 Trn1 UltraCluster, which consists of densely packed, co-located racks of Trn1 compute instances all interconnected by non-blocking petabyte scale networking. run_dp_bert_large_hf_pretrain_bf16_s128.sh"

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Large Language Models LLM BERT Deep Learning 131

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.

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Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 107

Unite.AI

OCTOBER 23, 2023

Over the past few years, Large Language Models (LLMs) have garnered attention from AI developers worldwide due to breakthroughs in Natural Language Processing (NLP). These models have set new benchmarks in text generation and comprehension.

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Large Language Models LLM Natural Language Processing BERT 310

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., Being trained on massive amounts of datasets, these LLMs capture a vast amount of knowledge.

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Large Language Models Natural Language Processing BERT NLP 103

Marktechpost

JULY 5, 2023

On the other hand, the area of law demands thorough investigation and the creation of a unique legal model due to its intrinsic relevance and need for accuracy. Legal practitioners rely on accurate and current information to make wise judgments, understand the law, and offer legal advice.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 114

Towards AI

FEBRUARY 10, 2025

Counselling session by a therapist In our work on medical diagnosis, we have focused on identifying conditions such as depression and anxiety for suicide risk detection using large language models (LLMs). Going anonymous for self-expression has bundled these forums with information that is quite useful for mental health studies.

Data Science 91

Data Science BERT Categorization Large Language Models 91

Unite.AI

APRIL 15, 2024

When it comes to natural language processing (NLP) and information retrieval, the ability to efficiently and accurately retrieve relevant information is paramount. Retrieval : The system queries a vector database or document collection to find information relevant to the user's query.

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BERT Large Language Models Natural Language Processing NLP 159

Marktechpost

JUNE 4, 2023

GPT 4, the latest version of language models released by OpenAI, is multimodal in nature, i.e., it takes in input in the form of text and images, unlike the previous versions.

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Large Language Models AI Researcher AI Research BERT 103

Marktechpost

JULY 3, 2023

The excellent technological advancements, particularly in the areas of Large Language Models (LLMs), LangChain, and Vector Databases, are responsible for this remarkable development. Large Language Models The development of Large Language Models (LLMs) represents a huge step forward for Artificial Intelligence.

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Large Language Models Natural Language Processing LLM BERT 98

AssemblyAI

JUNE 27, 2023

With various foundational ideas from large language models and text-to-image generation being adapted and incorporated into the audio modality , the latest AI-powered audio-generative systems are reaching a new unprecedented level of quality. This trend has recently begun to shift.

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AWS Machine Learning Blog

JANUARY 19, 2024

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. First, we use an Amazon SageMaker Studio notebook to fine-tune a pre-trained BERT model on a target task using a domain-specific dataset.

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BERT Automation Neural Network Machine Learning 116

Marktechpost

MAY 29, 2024

Answers, and StackOverflow, serve as interactive hubs for information exchange. Despite their popularity, the varying quality of responses poses a challenge for users who must navigate through numerous answers to find relevant information efficiently. The QAN model comprises three layers. Answers dataset.

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BERT Large Language Models Natural Language Processing LLM 106

Marktechpost

MAY 3, 2024

Traditional NLP methods like CNN, RNN, and LSTM have evolved with transformer architecture and large language models (LLMs) like GPT and BERT families, providing significant advancements in the field. RALMs’ language models are categorized into autoencoder, autoregressive, and encoder-decoder models.

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Natural Language Processing Large Language Models Categorization BERT 138

Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models. These include few-shot learning, ReAct, chain-of-thought, RAG, and more.

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