Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. The encoder processes input data, condensing essential features into a “Context Vector.”

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

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

NOVEMBER 3, 2023

In several natural language processing applications, text-based big language models have shown impressive and even human-level performance. Five speech-based natural language processing (NLP) tasks, including slot filling and translation to untrained languages, are included in the second level.

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Neural Network Natural Language Processing LLM Artificial Intelligence 105

Marktechpost

APRIL 25, 2024

In this article, we delve into 25 essential terms to enhance your technical vocabulary and provide insights into the mechanisms that make LLMs so transformative. Heatmap representing the relative importance of terms in the context of LLMs Source: marktechpost.com 1.

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Large Language Models LLM Neural Network Natural Language Processing 128

Marktechpost

OCTOBER 10, 2024

LLMs, particularly transformer-based models, have advanced natural language processing, excelling in tasks through self-supervised learning on large datasets. Recent studies show LLMs can handle diverse tasks, including regression, using textual representations of parameters.

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Large Language Models LLM Neural Network Natural Language Processing 133

Unite.AI

APRIL 1, 2024

On the other hand, sparse MoE or Mixture of Expert Models have demonstrated effective scaling of frameworks by processing data with the help of fixed activated parameters, an approach that has been widely adopted in the Natural Language Processing field.

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Large Language Models Neural Network LLM Natural Language Processing 227

Marktechpost

JANUARY 15, 2024

Transformers have taken over from recurrent neural networks (RNNs) as the preferred architecture for natural language processing (NLP). The experiments show that using TOVA with a quarter or even one-eighth of the full context yields results within one point of the topline model in language modeling tasks.

Neural Network 111

Neural Network Natural Language Processing LLM NLP 111

ODSC - Open Data Science

NOVEMBER 28, 2024

A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial Data Engineering, and LLM Evaluation ODSC East 2025 Black Friday Deal Take advantage of our 2-for-1 Black Friday sale and join the leading conference for data scientists and AI builders. Learn, innovate, and connect as we shape the future of AI — together!

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network LLM Natural Language Processing 52

Unite.AI

NOVEMBER 28, 2023

Recently, text-based Large Language Model (LLM) frameworks have shown remarkable abilities, achieving human-level performance in a wide range of Natural Language Processing (NLP) tasks. This auditory information encompasses three primary sound types: music, audio events, and speech. So let’s get started.

Large Language Models 173

Large Language Models Neural Network Natural Language Processing LLM 173

Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks. LLMs based on prefix decoders include GLM130B and U-PaLM.

Large Language Models 277

Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

Marktechpost

JANUARY 7, 2025

Advancements in neural networks have brought significant changes across domains like natural language processing, computer vision, and scientific computing. Neural networks often employ higher-order tensor weights to capture complex relationships, but this introduces memory inefficiencies during training.

Neural Network 85

Neural Network Natural Language Processing Computer Vision LLM 85

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. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

Large Language Models 130

Large Language Models LLM Natural Language Processing Auto-complete 130

IBM Journey to AI blog

SEPTEMBER 19, 2023

Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). It uses deep learning algorithms and large neural networks trained on vast datasets of diverse existing source code.

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Auto-complete Generative AI Neural Network Artificial Intelligence 241

Marktechpost

JULY 19, 2024

Due to the complexity of interpreting user questions, database schemas, and SQL production, accurately generating SQL from natural language queries (text-to-SQL) has been a long-standing difficulty. Traditional text-to-SQL systems using deep neural networks and human engineering have succeeded.

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LLM Neural Network Large Language Models Natural Language Processing 103

Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. Large Language Models are hard and costly to train for general purposes which causes resource and cost restriction.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

O'Reilly Media

NOVEMBER 19, 2024

Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., While the overall process may be more complicated in practice, this is the gist.

LLM 127

LLM NLP Hybrid AI Large Language Models 127

Marktechpost

MARCH 6, 2024

The natural language processing (NLP) field has witnessed significant advancements with the emergence of Large Language Models (LLMs) like GPT and LLaMA. These models have become essential tools for various tasks, prompting a growing need for proprietary LLMs among individuals and organizations.

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LLM Large Language Models Neural Network Natural Language Processing 107

Marktechpost

MARCH 18, 2025

This approach is valuable for building domain-specific assistants, customer support systems, or any application where grounding LLM responses in specific documents is important. They are crucial for machine learning applications, particularly those involving natural language processing and image recognition.

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Metadata LLM Auto-complete Neural Network 88

Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

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Large Language Models Neural Network Natural Language Processing LLM 137

Marktechpost

JULY 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. ” These limitations have spurred researchers to explore innovative solutions that can enhance LLM performance without the need for extensive retraining.

Large Language Models 124

Large Language Models Neural Network Natural Language Processing LLM 124

Unite.AI

DECEMBER 4, 2023

Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts. Despite their excellent language abilities these models are expensive due to high energy consumption, considerable memory requirements as well as heavy computational costs.

Large Language Models 217

Large Language Models BERT Neural Network Natural Language Processing 217

Marktechpost

APRIL 21, 2024

This course is ideal for those interested in the latest in natural language processing technologies. Introduction to Large Language Models: This module explores Large Language Models (LLMs) and their applications. This hands-on experience is invaluable for applying AI to linguistic tasks.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

Unite.AI

FEBRUARY 19, 2024

RPA Bots Becoming Super Bots: Driving Intelligent Decision Making RPA bots that originally operated on rule-based programs through learning patterns and emulating human behavior for performing repetitive and menial tasks have become super bots, with Conversational AI and Neural Network algorithms coming into force.

Neural Network 182

Neural Network Natural Language Processing Automation Robotics 182

Marktechpost

MAY 29, 2024

This article lists the top AI courses NVIDIA provides, offering comprehensive training on advanced topics like generative AI, graph neural networks, and diffusion models, equipping learners with essential skills to excel in the field. It also covers how to set up deep learning workflows for various computer vision tasks.

Neural Network 91

Neural Network Natural Language Processing Large Language Models Deep Learning 91

Marktechpost

JULY 7, 2024

In order to understand and react to search inputs more accurately and individually, these sophisticated search tools make use of machine learning, natural language processing, and deep learning. It was introduced in February 2023 and uses deep neural networks to validate responses from various sources.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 137

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. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

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Auto-complete ChatGPT Large Language Models Neural Network 240

Unite.AI

MARCH 21, 2024

In the world of natural language processing (NLP), the pursuit of building larger and more capable language models has been a driving force behind many recent advancements. The core idea behind MoE is to have multiple “expert” networks, each responsible for processing a subset of the input data.

Large Language Models 147

Large Language Models Neural Network Natural Language Processing LLM 147

Marktechpost

JUNE 18, 2024

With the rapid advancements in artificial intelligence, LLMs such as GPT-4 and LLaMA have significantly enhanced natural language processing. This integration leverages MCTS’s systematic exploration and LLMs’ self-refinement capabilities to improve decision-making in complex tasks.

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Neural Network Natural Language Processing Algorithm Artificial Intelligence 138

AWS Machine Learning Blog

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Model Variants The current DeepSeek model collection consists of the following models: DeepSeek-V3 An LLM that uses a Mixture-of-Experts (MoE) architecture.

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LLM Machine Learning AI AI 83

Marktechpost

JANUARY 8, 2024

In Large Language Models (LLMs), models like ChatGPT represent a significant shift towards more cost-efficient training and deployment methods, evolving considerably from traditional statistical language models to sophisticated neural network-based models.

Large Language Models 114

Large Language Models Natural Language Processing Neural Network Automation 114

Marktechpost

JUNE 9, 2024

It also explores neural networks, their components, and the complexity of deep learning. Large Language Models This course covers large language models (LLMs), their training, and fine-tuning. It helps you choose the right LLM for your business and understand the limitations of different LLM options.

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Artificial Intelligence Artificial Intelligence Natural Language Processing Large Language Models 97

Mlearning.ai

MAY 5, 2023

However, these early systems were limited in their ability to handle complex language structures and nuances, and they quickly fell out of favor. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI. Let’s create a community!

Large Language Models 98

Large Language Models Neural Network Natural Language Processing Deep Learning 98

Marktechpost

JUNE 29, 2023

One of the best examples of the trending LLMs is the chatbot developed by OpenAI, called ChatGPT, which imitates humans and has had millions of users since its release. LLMs with a huge number of parameters demand a lot of computational power, to reduce which efforts have been made by using methods like model quantization and network pruning.

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Large Language Models Natural Language Processing Neural Network LLM 103

Marktechpost

JANUARY 13, 2025

Large language models (LLMs) have become crucial tools for applications in natural language processing, computational mathematics, and programming. A strong challenge in LLM optimization arises from the fact that traditional pruning methods are fixed.

LLM 82

LLM Large Language Models Neural Network Natural Language Processing 82

Marktechpost

JULY 27, 2023

Developed by OpenAI, this chatbot does everything from answering questions precisely, summarizing long paragraphs of textual data, completing code snippets, translating the text into different languages, and so on. It can also translate spoken communication into printed text.

Large Language Models 98

Large Language Models Neural Network LLM Natural Language Processing 98

Unite.AI

SEPTEMBER 1, 2023

Many companies have experience with natural language processing (NLP) and low-level chatbots, but GenAI is accelerating how data can be integrated, interpreted, and converted into business outcomes. The Journey from NLP to Large Language Model (LLM) Technology has been trying to make sense of natural languages for decades now.

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Generative AI LLM NLP Neural Network 147

Unite.AI

DECEMBER 7, 2023

It learns optimal strategies through self-play, guided by a neural network for moves and position evaluation. The extensive training makes LLMs proficient at understanding grammar, semantics, and even nuanced aspects of language use. Monte Carlo Tree Search) for strategic planning in board games like chess and Go.

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Large Language Models OpenAI Neural Network Natural Language Processing 204