Marktechpost

AUGUST 28, 2024

Sarcasm detection is a critical challenge in natural language processing (NLP) because of sarcastic statements’ nuanced and often contradictory nature. Unlike straightforward language, sarcasm involves saying something that appears to convey one sentiment while implying the opposite.

Large Language Models 104

Large Language Models Deep Learning Natural Language Processing NLP 104

Marktechpost

NOVEMBER 16, 2024

Large language models (LLMs) have revolutionized natural language processing by offering sophisticated abilities for a range of applications. However, these models face significant challenges. The empirical analysis performed on two models—Llama-3-8B-Instruct and Mistral-7B-Instruct-v0.3—demonstrates

Large Language Models 86

Large Language Models Natural Language Processing NLP Continuous Learning 86

Marktechpost

SEPTEMBER 11, 2024

One important tactic for improving large language models’ (LLMs’) capacity for reasoning is the Chain-of-Thought (CoT) paradigm. By encouraging models to divide tasks into intermediate steps, much like humans methodically approach complex problems, CoT improves the problem-solving process.

Large Language Models 103

Large Language Models LLM Natural Language Processing NLP 103

Marktechpost

SEPTEMBER 19, 2024

Text embedding models have become foundational in natural language processing (NLP). These models convert text into high-dimensional vectors that capture semantic relationships, enabling tasks like document retrieval, classification, clustering, and more. Check out the Paper and Model Card on HF.

NLP 120

NLP Large Language Models Natural Language Processing ML 120

Marktechpost

JULY 26, 2024

Large language models’ (LLMs) training pipelines are the source of inspiration for this method in the field of natural language processing (NLP). This research suggests adapting BPE, which is commonly utilized in NLP, to the task of learning variable timespan abilities in continuous control domains.

Natural Language Processing 104

Natural Language Processing NLP Machine Learning Robotics 104

Marktechpost

SEPTEMBER 18, 2024

Artificial intelligence (AI) and natural language processing (NLP) have seen significant advancements in recent years, particularly in the development and deployment of large language models (LLMs). If you like our work, you will love our newsletter.

Large Language Models 104

Large Language Models Natural Language Processing Explainability Artificial Intelligence 104

Marktechpost

AUGUST 6, 2024

NuMind is an innovative tool designed to facilitate creation of custom natural language processing (NLP) models through an interactive teaching process. NuMind supports various NLP tasks, including classification, multilabel classification, named entity recognition (NER), and, soon, structured extraction.

NLP 109

NLP Natural Language Processing Large Language Models Machine Learning 109

John Snow Labs

AUGUST 22, 2023

John Snow Labs , the award-winning Healthcare AI and NLP company, announced the latest major release of its Spark NLP library – Spark NLP 5 – featuring the highly anticipated support for the ONNX runtime. State-of-the-Art Accuracy, 100% Open Source The Spark NLP Models Hub now includes over 500 ONYX-optimized models.

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NLP LLM BERT Large Language Models 98

Marktechpost

AUGUST 6, 2024

Advancements in NLP have led to the development of large language models (LLMs) capable of performing complex language-related tasks with high accuracy. A significant problem in NLP is the reliance on human annotations for model evaluation. The final model achieved 88.3 Check out the Paper.

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LLM NLP Large Language Models AI 123

Marktechpost

AUGUST 25, 2024

Don’t Forget to join our 49k+ ML SubReddit Find Upcoming AI Webinars here The post RAGLAB: A Comprehensive AI Framework for Transparent and Modular Evaluation of Retrieval-Augmented Generation Algorithms in NLP Research appeared first on MarkTechPost. If you like our work, you will love our newsletter.

Algorithm 120

Algorithm NLP Natural Language Processing AI 120

Marktechpost

SEPTEMBER 20, 2024

Large language models (LLMs) have made significant leaps in natural language processing, demonstrating remarkable generalization capabilities across diverse tasks. However, due to inconsistent adherence to instructions, these models face a critical challenge in generating accurately formatted outputs, such as JSON.

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LLM NLP Large Language Models Natural Language Processing 117

Marktechpost

AUGUST 24, 2024

Retrieval Augmented Generation (RAG) represents a cutting-edge advancement in Artificial Intelligence, particularly in NLP and Information Retrieval (IR). This integration allows LLMs to perform more accurately and effectively in knowledge-intensive tasks, especially where proprietary or up-to-date information is crucial.

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Large Language Models Metadata Artificial Intelligence Artificial Intelligence 76

Marktechpost

JULY 22, 2024

The recent development of large language models (LLMs) has transformed the field of Natural Language Processing (NLP). LLMs show human-level performance in many professional and academic fields, showing a great understanding of language rules and patterns. If you like our work, you will love our newsletter.

Large Language Models 120

Large Language Models Natural Language Processing Algorithm NLP 120

Marktechpost

SEPTEMBER 2, 2024

Recent developments in machine learning, particularly in natural language processing (NLP), have significantly enhanced the capabilities of IR systems. This significant imbalance highlights the difficulty in capturing the full complexity of query-document relationships, particularly in large datasets.

Large Language Models 70

Large Language Models Deep Learning Natural Language Processing Machine Learning 70

AWS Machine Learning Blog

AUGUST 16, 2023

Thomson Reuters Labs, the company’s dedicated innovation team, has been integral to its pioneering work in AI and natural language processing (NLP). This technology was one of the first of its kind, using NLP for more efficient and natural legal research. A key milestone was the launch of Westlaw Is Natural (WIN) in 1992.

Large Language Models 93

Large Language Models Machine Learning Generative AI ML 93

Marktechpost

AUGUST 14, 2024

70b by Mobius Labs, boasting 70 billion parameters, has been designed to enhance the capabilities in natural language processing (NLP), image recognition, and data analysis. Mobius Labs, known for its cutting-edge innovations, has positioned this model as a cornerstone in the next generation of AI technologies. HQQ Llama-3.1-70b

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Natural Language Processing AI Modeling Data Analysis NLP 128

Marktechpost

JULY 28, 2024

In the rapidly evolving field of natural language processing (NLP), integrating external knowledge bases through Retrieval-Augmented Generation (RAG) systems represents a significant leap forward. These systems leverage dense retrievers to pull relevant information, which large language models (LLMs) then utilize to generate responses.

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Natural Language Processing Large Language Models NLP LLM 125

Marktechpost

OCTOBER 18, 2024

This approach not only aids those directly involved in NLP research but also democratizes access to tools for large-scale model training, providing a valuable resource for those looking to experiment without overwhelming technical barriers. If you like our work, you will love our newsletter.

LLM 113

LLM NLP Inference Engine Large Language Models 113

Marktechpost

JULY 24, 2024

This research paper addresses the limitations of existing agentic frameworks in natural language processing (NLP) tasks, particularly the inefficiencies in handling dynamic and complex queries that require context refinement and interactive problem-solving. If you like our work, you will love our newsletter.

Large Language Models 116

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 116

Marktechpost

OCTOBER 24, 2024

The rapid growth of large language models (LLMs) has brought significant advancements across various sectors, but it has also presented considerable challenges. performs at approximately 95% of the full Llama 3 model’s effectiveness on key NLP benchmarks but with a reduction in memory usage by nearly 60%.

Large Language Models 120

Large Language Models NLP Natural Language Processing Inference Engine 120

Marktechpost

AUGUST 3, 2024

Large language models (LLMs) have shown remarkable capabilities in NLP, performing tasks such as translation, summarization, and question-answering. The research provides a practical solution for frequent and efficient evaluation of LLMs, enabling continuous improvement in NLP technologies.

LLM 104

LLM Large Language Models NLP ML 104

Marktechpost

OCTOBER 21, 2024

AI models are built upon large language models (LLMs), designed specifically for enterprise AI applications. These include 8B and 2B parameter-dense decoder-only models, which outperformed similarly sized Llama-3.1 delivers powerful NLP features in a secure and transparent manner.

AI Modeling 117

AI Modeling Large Language Models Natural Language Processing Inference Engine 117

Marktechpost

SEPTEMBER 23, 2024

OpenAI’s decision to introduce the MMMLU dataset addresses this challenge by offering a robust, multilingual, and multitask dataset designed to assess the performance of large language models (LLMs) on various tasks. MMMLU, in this regard, serves as a crucial benchmark for evaluating the real-world applicability of these models.

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OpenAI NLP Natural Language Processing Large Language Models 123

Marktechpost

JULY 26, 2024

These models, enhanced by pre-trained language models (PLMs), set the state-of-the-art in the field, benefiting from large-scale corpora to improve their linguistic capabilities. These LLMs, with their substantial number of parameters, can capture complex patterns in data, making them well-suited for the Text-to-SQL task.

LLM 120

LLM Prompt Engineering Prompt Engineer Large Language Models 120

Marktechpost

AUGUST 17, 2024

Large language models require large datasets of prompts paired with particular user requests and correct responses for training purposes. Conversely, unlike other languages, mainly Arabic, immense efforts have been made to develop such datasets in English. If you like our work, you will love our newsletter.

Large Language Models 104

Large Language Models NLP LLM ML 104

Marktechpost

AUGUST 15, 2024

Metaphor Components Identification (MCI) is an essential aspect of natural language processing (NLP) that involves identifying and interpreting metaphorical elements such as tenor, vehicle, and ground. This framework leverages the power of large language models (LLMs) like ChatGPT to improve the accuracy and efficiency of MCI.

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NLP Large Language Models Computational Linguistics Neural Network 62

Marktechpost

SEPTEMBER 17, 2024

Large language models (LLMs) have seen remarkable success in natural language processing (NLP). Large-scale deep learning models, especially transformer-based architectures, have grown exponentially in size and complexity, reaching billions to trillions of parameters.

Large Language Models 109

Large Language Models LLM NLP Deep Learning 109

Marktechpost

AUGUST 12, 2024

Large Language Models (LLMs), like ChatGPT and GPT-4 from OpenAI, are advancing significantly and transforming the field of Natural Language Processing (NLP) and Natural Language Generation (NLG), thus paving the way for the creation of a plethora of Artificial Intelligence (AI) applications indispensable to daily life.

Large Language Models 109

Large Language Models Natural Language Processing LLM Artificial Intelligence 109

Marktechpost

JULY 25, 2024

Question answering (QA) is a crucial area in natural language processing (NLP), focusing on developing systems that can accurately retrieve and generate responses to user queries from extensive data sources. This limitation hampers evaluating how well LLMs can generalize across different domains. Check out the Paper.

Large Language Models 104

Large Language Models Natural Language Processing LLM NLP 104

Marktechpost

AUGUST 24, 2024

Natural Language Processing (NLP) has seen remarkable advancements, particularly in text generation techniques. As NLP continues to evolve, integrating RAG has become increasingly important for generating reliable and contextually accurate outputs in these complex domains. If you like our work, you will love our newsletter.

Large Language Models 113

Large Language Models Natural Language Processing NLP Automation 113

Marktechpost

AUGUST 9, 2024

The release as an open-source large language model is unique to the current version with great results and 7.8B introduces advanced natural language processing (NLP) capabilities. The AI’s ability to identify patterns and trends in large datasets can provide financial institutions with deeper insights.

AI Researcher 109

AI Researcher AI Research NLP Natural Language Processing 109

ODSC - Open Data Science

DECEMBER 28, 2023

The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an Observability Platform The Top Large Language Models Going Into 2024 Let’s explore the top large language models that made waves in 2023, and see why you should be using these LLMs in 2024.

Large Language Models 52

Large Language Models Python Data Science Machine Learning 52

Marktechpost

AUGUST 28, 2024

With the development of huge Large Language Models (LLMs), such as GPT-3 and GPT-4, Natural Language Processing (NLP) has developed incredibly in recent years. Based on their unusual reasoning capabilities, these models can understand and generate human-like text. Check out the Paper.

Large Language Models 109

Large Language Models LLM NLP Natural Language Processing 109

Marktechpost

NOVEMBER 5, 2024

Large language models (LLMs) have become the backbone of many AI systems, contributing significantly to advancements in natural language processing (NLP), computer vision, and even scientific research. However, these models come with their own set of challenges. 70B and LLama3.1-405B.

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Large Language Models NLP Natural Language Processing Computer Vision 94

Marktechpost

OCTOBER 28, 2024

Text embedding, a central focus within natural language processing (NLP), transforms text into numerical vectors capturing the essential meaning of words or phrases. These embeddings enable machines to process language tasks like classification, clustering, retrieval, and summarization. in classification tasks, 49.3

NLP 113

NLP Natural Language Processing Inference Engine Large Language Models 113

Marktechpost

OCTOBER 23, 2024

Considering the major influence of autoregressive ( AR ) generative models, such as Large Language Models in natural language processing ( NLP ), it’s interesting to explore whether similar approaches can work for images. If you like our work, you will love our newsletter.

Natural Language Processing 111

Natural Language Processing Inference Engine NLP Large Language Models 111

Marktechpost

SEPTEMBER 2, 2024

In natural language processing (NLP), handling long text sequences effectively is a critical challenge. Traditional transformer models, widely used in large language models (LLMs), excel in many tasks but must be improved when processing lengthy inputs. If you like our work, you will love our newsletter.

Natural Language Processing 109

Natural Language Processing Large Language Models Neural Network NLP 109