Marktechpost

NOVEMBER 19, 2024

Traditional techniques include reconstruction-based methods (such as autoencoders and GANs), which rely on training models to reconstruct normal log sequences and detect anomalies based on reconstruction errors. It leverages BERT to extract semantic vectors and uses Llama, a transformer decoder, for log sequence classification.

Large Language Models 80

Large Language Models BERT Prompt Engineer Prompt Engineering 80

AWS Machine Learning Blog

JANUARY 7, 2025

Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate. This includes the ability to incorporate custom terminology and domain-specific knowledge.

Large Language Models 113

Large Language Models Prompt Engineer Prompt Engineering Metadata 113

Towards AI

JANUARY 29, 2025

Fine-tuning large language models (LLMs) has become an easier task today thanks to the availability of low-code/no-code tools that allow you to simply upload your data, select a base model and obtain a fine-tuned model. However, it is important to understand the fundamentals before diving into these tools.

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Analytics Vidhya

MARCH 30, 2024

Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks.

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Unite.AI

DECEMBER 4, 2023

In the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a long time, a silent but groundbreaking shift is taking place. Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts.

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Large Language Models BERT Neural Network Natural Language Processing 215

Unite.AI

MAY 8, 2024

In parallel, Large Language Models (LLMs) like GPT-4, and LLaMA have taken the world by storm with their incredible natural language understanding and generation capabilities. In this article, we will delve into the latest research at the intersection of graph machine learning and large language models.

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Neural Network Large Language Models LLM BERT 176

Towards AI

APRIL 18, 2025

Think of it as just rewriting key points or summary in a book instead of the whole story.QLoRA: It applies LoRA techniques to a model that is already compressed using 4 bit quantization(we will go through it). It is efficient, elegant, and powerful. QLoRA stands for Quantized Low-Rank Adaptation.

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Unite.AI

JANUARY 11, 2024

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. vector embedding Recent advances in large language models (LLMs) like GPT-3 have shown impressive capabilities in few-shot learning and natural language generation.

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Large Language Models Prompt Engineer Prompt Engineering BERT 144

AssemblyAI

SEPTEMBER 18, 2023

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. What Is a Large Language Model?

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Large Language Models BERT Auto-complete LLM 130

Analytics Vidhya

OCTOBER 8, 2024

Introduction Large Language Model Operations (LLMOps) is an extension of MLOps, tailored specifically to the unique challenges of managing large-scale language models like GPT, PaLM, and BERT.

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LLM Large Language Models BERT Machine Learning 223

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. Large Language Models (LLMs) are a type of neural network model trained on vast amounts of text data.

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Large Language Models LLM Metadata BERT 130

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 130

Marktechpost

NOVEMBER 27, 2023

The existing methods have been supported by the code, benchmarking setup, and model weights provided by the researchers at ETH Zurich. They have also suggested exploring multiple FFF trees for joint computation and the potential application in large language models like GPT-3. of its neurons during inference.

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Unite.AI

NOVEMBER 11, 2024

Machines are demonstrating remarkable capabilities as Artificial Intelligence (AI) advances, particularly with Large Language Models (LLMs). At the leading edge of Natural Language Processing (NLP) , models like GPT-4 are trained on vast datasets. They process and generate text that mimics human communication.

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LLM Large Language Models Natural Language Processing BERT 176

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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Marktechpost

JULY 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. Recent advancements focus on scaling up these models and developing techniques for efficient fine-tuning, expanding their applicability across diverse domains.

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Large Language Models Neural Network Natural Language Processing LLM 127

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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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 139

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 128

AWS Machine Learning Blog

FEBRUARY 6, 2024

Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks. BERT is trained on sequences where some of the words in a sentence are masked, and it has to fill in those words taking into account both the words before and after the masked words.

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Large Language Models BERT NLP Data Scientist 134

NYU Center for Data Science

MARCH 13, 2025

The intermediate layers of large language models (LLMs) contain surprisingly rich representations that often outperform the final layer on downstream tasks, according to new research from CDS Research Scientist Ravid Shwartz-Ziv , CDS Professor Yann LeCun , and their collaborators.

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BERT Large Language Models Explainability LLM 90

Analytics Vidhya

APRIL 15, 2024

RAG is what is necessary for the Large Language Models (LLMs) to provide or generate accurate and factual answers. Introduction Retrieval Augmented-Generation (RAG) has taken the world by Storm ever since its inception.

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Large Language Models LLM BERT OpenAI 349

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. A transformer architecture is typically implemented as a Large language model.

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Large Language Models LLM Natural Language Processing Deep Learning 98

Unite.AI

SEPTEMBER 20, 2023

These are deep learning models used in NLP. This discovery fueled the development of large language models like ChatGPT. Large language models or LLMs are AI systems that use transformers to understand and create human-like text. We choose a BERT model fine-tuned on the SQuAD dataset.

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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 104

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 128

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 134

Analytics Vidhya

FEBRUARY 27, 2024

Introduction Large language models (LLMs) are increasingly becoming powerful tools for understanding and generating human language. LLMs have even shown promise in more specialized domains, like healthcare, finance, and law.

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LLM Large Language Models Natural Language Processing BERT 329

Unite.AI

SEPTEMBER 24, 2023

Nikolaus Kriegeskorte, a principal investigator at Columbia's Zuckerman Institute, emphasized the relative success of large language models in capturing crucial aspects missed by simpler models.

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AI Chatbots Chatbots Neural Network BERT 354

Marktechpost

JANUARY 12, 2024

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. This Paper Explores the Detective Skills of Large Language Models in Information Extraction appeared first on MarkTechPost.

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Large Language Models Chatbots BERT NLP 130

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

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. Large Language Models In recent years, LLM development has seen a significant increase in size, as measured by the number of parameters.

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Large Language Models Neural Network LLM Chatbots 130

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. What are Large Language Models and Why are They Important? Techniques like Word2Vec and BERT create embedding models which can be reused.

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Large Language Models Prompt Engineering Prompt Engineer LLM 100

Analytics Vidhya

FEBRUARY 24, 2024

Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode.

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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 122

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.

Machine Learning 288

Machine Learning Large Language Models LLM BERT 288

ODSC - Open Data Science

SEPTEMBER 6, 2023

Most people who have experience working with large language models such as Google’s Bard or OpenAI’s ChatGPT have worked with an LLM that is general, and not industry-specific. But as time has gone on, many industries have realized the power of these models. This is where BioBERT comes in. Get your pass today !

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Large Language Models NLP LLM BERT 98