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.

Large Language Models 217

Large Language Models BERT Neural Network Natural Language Processing 217

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.

Neural Network 182

Neural Network Large Language Models LLM BERT 182

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.

Large Language Models 147

Large Language Models Prompt Engineer Prompt Engineering BERT 147

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?

Large Language Models 130

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.

LLM 223

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.

Large Language Models 130

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.

Large Language Models 131

Large Language Models LLM Neural Network Natural Language Processing 131

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.

Large Language Models 119

Large Language Models Machine Learning BERT Algorithm 119

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%

BERT 311

BERT Neural Network Large Language Models Deep Learning 311

Analytics Vidhya

NOVEMBER 28, 2024

Large Language Models (LLMs) have revolutionized characteristic dialect preparing (NLP), fueling applications extending from summarization and interpretation to conversational operators and retrieval-based frameworks.

LLM 203

LLM BERT Large Language Models NLP 203

Analytics Vidhya

NOVEMBER 20, 2024

Large Language Models like BERT, T5, BART, and DistilBERT are powerful tools in natural language processing where each is designed with unique strengths for specific tasks. These models vary in their architecture, performance, and efficiency.

BERT 208

BERT Natural Language Processing Large Language Models NLP 208

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.

BERT 128

BERT Large Language Models AI Researcher AI Research 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.

Large Language Models 132

Large Language Models BERT NLP Data Scientist 132

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.

Large Language Models 349

Large Language Models LLM BERT OpenAI 349

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

BERT 130

BERT Large Language Models Natural Language Processing NLP 130

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.

Large Language Models 128

Large Language Models Neural Network Natural Language Processing LLM 128

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.

LLM 329

LLM Large Language Models Natural Language Processing BERT 329

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.

Large Language Models 130

Large Language Models AI Researcher AI Research Neural Network 130

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.

Large Language Models 139

Large Language Models Machine Learning Natural Language Processing BERT 139

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.

Large Language Models 131

Large Language Models Chatbots BERT NLP 131

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.

Large Language Models 105

Large Language Models BERT Natural Language Processing Categorization 105

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 294

Machine Learning Large Language Models LLM BERT 294

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.

Large Language Models 134

Large Language Models Natural Language Processing BERT Computer Vision 134

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.

Large Language Models 100

Large Language Models Prompt Engineer Prompt Engineering LLM 100

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.

AI Chatbots 354

AI Chatbots Chatbots Neural Network BERT 354

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.

Large Language Models 124

Large Language Models NLP Convolutional Neural Networks Neural Network 124

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.

LLM 318

LLM BERT Responsible AI AI Researcher 318

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.

Large Language Models 130

Large Language Models LLM Auto-complete Natural Language Processing 130

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.

BERT 134

BERT Automation Neural Network Machine Learning 134

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.

Large Language Models 130

Large Language Models Neural Network LLM Chatbots 130

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 81

Large Language Models BERT Prompt Engineer Prompt Engineering 81

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

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.

Large Language Models 87

Large Language Models LLM Natural Language Processing Deep Learning 87

AWS Machine Learning Blog

JUNE 18, 2024

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. This makes adopting and scaling these approaches burdensome for many applications.

Large Language Models 134

Large Language Models Natural Language Processing LLM Computer Vision 134

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 !

Large Language Models 98

Large Language Models NLP LLM BERT 98

Marktechpost

JUNE 19, 2023

Large Language Models have shown remarkable performance in a massive range of tasks. From producing unique and creative content and questioning answers to translating languages and summarizing textual paragraphs, LLMs have been successful in imitating humans.

Large Language Models 122

Large Language Models LLM BERT AI Tools 122

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"

Large Language Models 132

Large Language Models LLM BERT Deep Learning 132