Marktechpost

AUGUST 15, 2023

Large language models (LLMs) have achieved amazing results in a variety of Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG) tasks in recent years.

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Large Language Models Categorization LLM Natural Language Processing 98

Viso.ai

JULY 18, 2024

What are Large Language Models (LLMs)? In generative AI, human language is perceived as a difficult data type. If a computer program is trained on enough data such that it can analyze, understand, and generate responses in natural language and other forms of content, it is called a Large Language Model (LLM).

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Marktechpost

APRIL 6, 2024

TRIZ is a knowledge-based ideation methodology that provides a structured framework for engineering problem-solving by identifying and overcoming technical contradictions using inventive principles derived from a large-scale patent database. While human expert analysis carries subjectivity and bias, it serves as a benchmark for comparison.

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Marktechpost

JANUARY 21, 2024

Large Language Models (LLMs) have exhibited remarkable prowess across various natural language processing tasks. However, applying them to Information Retrieval (IR) tasks remains a challenge due to the scarcity of IR-specific concepts in natural language.

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Large Language Models Natural Language Processing Categorization NLP 140

Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. Existing benchmarks frequently use simple objective metrics like word overlap to gauge how well the content produced by the machine is categorizing information.

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Large Language Models LLM Natural Language Processing Categorization 128

IBM Journey to AI blog

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate? This is where LLMs come into play.

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ESG Categorization Large Language Models NLP 274

Marktechpost

APRIL 5, 2024

King’s College London researchers have highlighted the importance of developing a theoretical understanding of why transformer architectures, such as those used in models like ChatGPT, have succeeded in natural language processing tasks.

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Neural Network Natural Language Processing Categorization Explainability 127

Marktechpost

AUGUST 18, 2024

LLMs have revolutionized artificial intelligence, particularly natural language processing and software engineering. Models useful for specific tasks such as generating, understanding, and translating text are being integrated into many applications.

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Marktechpost

JULY 30, 2024

Prior work on abstention in large language models (LLMs) has made significant strides in query processing, answerability assessment, and handling misaligned queries. They present a framework analyzing abstention from the query, model, and human value perspectives.

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Large Language Models Categorization LLM Natural Language Processing 107

AssemblyAI

JANUARY 23, 2024

Large Language Models (LLMs) are revolutionizing how humans and Artificial Intelligence (AI) interact.   In this article, we’ll explore what Conversation Intelligence platforms and Large Language Models are before examining the top benefits of integrating LLMs for Conversation Intelligence platforms. 

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Large Language Models Natural Language Processing Categorization Automation 144

Marktechpost

DECEMBER 18, 2023

The attention mechanism has played a significant role in natural language processing and large language models. The researchers emphasized that transformers utilize an old-school method similar to support vector machines (SVM) to categorize data into relevant and non-relevant information.

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Natural Language Processing Large Language Models Chatbots Categorization 104

Marktechpost

SEPTEMBER 20, 2024

Large language models (LLMs) have made significant leaps in natural language processing, demonstrating remarkable generalization capabilities across diverse tasks. These methods can be categorized into three main groups: pre-generation tuning, in-generation control, and post-generation parsing.

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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. Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text.

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Marktechpost

MAY 9, 2024

In Natural Language Processing (NLP) tasks, data cleaning is an essential step before tokenization, particularly when working with text data that contains unusual word separations such as underscores, slashes, or other symbols in place of spaces.

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Marktechpost

MAY 5, 2024

Consequently, there’s been a notable uptick in research within the natural language processing (NLP) community, specifically targeting interpretability in language models, yielding fresh insights into their internal operations. Recent approaches automate circuit discovery, enhancing interpretability.

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Natural Language Processing Categorization Neural Network NLP 113

Unite.AI

JUNE 10, 2024

By leveraging large language models (LLMs) and advanced machine learning techniques, Apple aims to further improve the way users interact with their iPhones, iPads, Apple Watches, and Macs. The enhanced Siri is rumored to rival the capabilities of other AI assistants, such as Google's Astra and Microsoft's AI-powered offerings.

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Marktechpost

JULY 7, 2024

Significant progress has been made in natural language processing (NLP) and information retrieval (IR) technologies. Large Language Models (LLMs) are the main tools of generative artificial intelligence (GenAI) and show great potential in understanding, creating, and improving human language.

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Natural Language Processing Large Language Models Categorization LLM 116

Marktechpost

OCTOBER 4, 2024

Natural language processing (NLP) has seen rapid advancements, with large language models (LLMs) leading the charge in transforming how text is generated and interpreted.

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LLM Natural Language Processing Large Language Models Categorization 113

Topbots

APRIL 11, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. The Most Important Large Language Models (LLMs) in 2023 1. To improve understanding of how scaling of large language models affects few-shot learning.

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Marktechpost

AUGUST 24, 2024

Large Language Models (LLMs) like GPT-4, Qwen2, and LLaMA have revolutionized artificial intelligence, particularly in natural language processing. Graph data used in GraphRAG can be categorized into two main types: Open Knowledge Graphs and Self-Constructed Graph Data.

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Natural Language Processing Categorization Neural Network Large Language Models 62

Marktechpost

JULY 19, 2024

Evolutionary Process Since its inception, text-to-SQL has seen tremendous growth within the natural language processing (NLP) community, moving from rule-based to deep learning-based methodologies and, most recently, merging PLMs and LLMs. However, with minimum domain-specific training, they can be effectively adapted.

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LLM Neural Network Large Language Models Natural Language Processing 104

Marktechpost

OCTOBER 24, 2023

Large language models excel at understanding and generating human language. This ability is crucial for tasks such as text summarization, sentiment analysis, translation, and chatbots, making them valuable tools for natural language processing.

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Natural Language Processing Large Language Models Categorization Chatbots 98

Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. Finally, all existing tools are based on modest, traditional transformer models.

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Marktechpost

DECEMBER 6, 2023

Recent months have seen a significant rise in the popularity of Large Language Models (LLMs). Based on the strengths of Natural Language Processing, Natural Language Understanding, and Natural Language Generation, these models have demonstrated their capabilities in almost every industry.

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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. The diagram visualizes the architecture of an AI system powered by a Large Language Model and Agents.

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Marktechpost

MARCH 22, 2024

Despite the remarkable progress of LLMs in natural language processing, they remain susceptible to jailbreak attempts. Researchers investigating LLM security vulnerabilities have explored various jailbreak attack methodologies, categorized into Human-Design, Long-tail Encoding, and Prompt Optimization.

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Machine Learning LLM Natural Language Processing Categorization 133

Snorkel AI

JUNE 23, 2023

Enterprises—especially the world’s largest—are excited to use large language models , but they want to fine-tune them on proprietary data. That challenge is likely to remain, even as data science teams shift their focus from traditional model architectures to foundation models and large language models.

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Data Science Large Language Models Data Scientist Categorization 64

Snorkel AI

JUNE 23, 2023

Enterprises—especially the world’s largest—are excited to use large language models , but they want to fine-tune them on proprietary data. That challenge is likely to remain, even as data science teams shift their focus from traditional model architectures to foundation models and large language models.

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Data Science Large Language Models Data Scientist Categorization 64

Marktechpost

JULY 12, 2023

Large Language Models have been able to dive into almost every domain. From Natural Language Processing and Natural Language Understanding to Computer vision, these models have incredible capabilities to provide solutions in every field of Artificial Intelligence.

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Marktechpost

JULY 1, 2024

Natural language processing (NLP) is a branch of artificial intelligence focusing on the interaction between computers and humans using natural language. The WILDTEAMING framework begins by mining a large dataset of user interactions to uncover various jailbreak tactics, categorizing them into 5.7K

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Snorkel AI

JUNE 23, 2023

Enterprises—especially the world’s largest—are excited to use large language models , but they want to fine-tune them on proprietary data. That challenge is likely to remain, even as data science teams shift their focus from traditional model architectures to foundation models and large language models.

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Data Science Large Language Models Categorization Machine Learning 52

Marktechpost

MAY 3, 2024

Natural Language Processing (NLP) is integral to artificial intelligence, enabling seamless communication between humans and computers. This interdisciplinary field incorporates linguistics, computer science, and mathematics, facilitating automatic translation, text categorization, and sentiment analysis.

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Marktechpost

JANUARY 11, 2024

In 2023, the field of artificial intelligence witnessed significant advancements, particularly in the field of large language models. We have categorized them to make it easier to cover maximum tools. Mistral 7B : It is a powerful language model, boasting 7.3

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Towards AI

MAY 20, 2023

With AI on a private cloud, organizations can ensure that everything, including custom Language Models (LLMs), remains within their secure cloud environment, preserving data privacy and allowing for complete control over their proprietary models and sensitive information.

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LLM Large Language Models Chatbots Natural Language Processing 71

John Snow Labs

MAY 19, 2023

Natural Language Processing ( NLP ) is changing the way the legal sector operates. Natural Language Processing shortens the timelines and streamlines the research process. Potential Risks of NLP in Legal Below are the potential risks of using Natural Language Processing in the Legal industry.

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Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. But what are large language models? Table of contents What are large language models (LLMs)? Their new model combined several ideas into something surprisingly simple and powerful.

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Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. But what are large language models? Table of contents What are large language models (LLMs)? Their new model combined several ideas into something surprisingly simple and powerful.

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Large Language Models BERT Neural Network LLM 52