Unite.AI

AUGUST 11, 2024

Users can set up custom streams to monitor keywords, hashtags, and mentions in real-time, while the platform's AI-powered sentiment analysis automatically categorizes mentions as positive, negative, or neutral, providing a clear gauge of public perception.

Categorization 300

Categorization AI AI Automation 300

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.

Large Language Models 140

Large Language Models Natural Language Processing Categorization NLP 140

AWS Machine Learning Blog

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

Prompt Engineering 120

Prompt Engineering Prompt Engineer Large Language Models LLM 120

Probably Approximately a Scientific Blog

JANUARY 12, 2021

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). Temporal commonsense: natural language rarely communicates explicit temporal information. This discrepancy means that our model doesn't imitate human reasoning process - it works differently.

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

Unite.AI

MAY 10, 2024

This innovative functionality enables users to ask questions and retrieve specific information from the PDF document, making it easier to navigate and understand complex research papers. One of the standout features of Tenorshare AI PDF Tool is its interactive chat interface, powered by ChatGPT.

AI Research 147

AI Research AI Researcher Natural Language Processing Machine Learning 147

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.

ESG 273

ESG Categorization Large Language Models NLP 273

Unite.AI

JUNE 2, 2023

In the age of information overload, managing emails can be a daunting task. Based on this, it makes an educated guess about the importance of incoming emails, and categorizes them into specific folders. Its powerful AI capabilities allow it to understand and categorize emails, draft responses, and manage follow-ups efficiently.

Categorization 261

Categorization Natural Language Processing Automation AI 261

Marktechpost

NOVEMBER 11, 2024

It provides a high-level interface for creating informative and visually appealing statistical graphics. Seaborn simplifies the process of creating complex visualizations like heatmaps, scatter plots, and time series plots, making it a popular choice for exploratory data analysis and data storytelling.

Data Analysis 89

Data Analysis Python Natural Language Processing Computer Vision 89

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.

Natural Language Processing 116

Natural Language Processing Categorization Neural Network NLP 116

John Snow Labs

SEPTEMBER 17, 2024

What is Clinical Data Abstraction Creating large-scale structured datasets containing precise clinical information on patient itineraries is a vital tool for medical care providers, healthcare insurance companies, hospitals, medical research, clinical guideline creation, and real-world evidence.

NLP 52

NLP Natural Language Processing Categorization Metadata 52

AWS Machine Learning Blog

JUNE 25, 2024

Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. No explanation is required.

Automation 123

Automation Prompt Engineering Prompt Engineer Categorization 123

Marktechpost

DECEMBER 18, 2023

The attention mechanism has played a significant role in natural language processing and large language models. In the case of transformers, the categories are relevant and irrelevant information within the text. This study explains the underlying process of information retrieval within the attention mechanism.

Natural Language Processing 105

Natural Language Processing Large Language Models Chatbots Categorization 105

Marktechpost

JULY 10, 2024

This information is critical, yet it is incomplete. Lytix automatically mines text data for insights using natural language processing techniques, such as: Through sentiment analysis, Lytix can determine the tone of text data, including whether it is favorable, negative, or neutral.

LLM 111

LLM Natural Language Processing Categorization AI 111

Marktechpost

JULY 7, 2024

The rise of the Internet has flooded with information, making search engines more important than ever for navigating this vast online world. Significant progress has been made in natural language processing (NLP) and information retrieval (IR) technologies.

Natural Language Processing 117

Natural Language Processing Large Language Models Categorization LLM 117

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.

NLP 118

NLP Natural Language Processing Metadata Large Language Models 118

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. Also, even integrating external information through retrieval-augmented generation (RAG) does not guarantee context adherence.

LLM 115

LLM Natural Language Processing Large Language Models Categorization 115

Marktechpost

DECEMBER 25, 2023

This tool enhances data exploration by integrating cutting-edge Natural Language Processing (NLP) techniques. VectorLink introduces a novel approach to handling data by allowing developers to create custom text embeddings for their information using cloud models.

Natural Language Processing 114

Natural Language Processing Categorization Data Analysis NLP 114

Unite.AI

APRIL 16, 2024

In doing so, they equip stakeholders with the insights needed to remain abreast of regulatory changes and make well-informed decisions amidst the dynamic regulatory landscape. Our internal platform, GRIP, exemplifies how comprehensive data insights can simplify compliance processes.

Automation 162

Automation Natural Language Processing AI AI 162

AssemblyAI

MAY 14, 2024

It uses natural language processing to identify and organize discussion points, decisions, and future tasks. It lets users analyze text to detect patterns, extract meaningful information, and even redact sensitive data (automatically).   Fireflies.ai However, its services expand far beyond transcription.

Natural Language Processing 147

Natural Language Processing Automation Robotics Categorization 147

Marktechpost

APRIL 6, 2024

Recent advancements integrate machine learning and natural language processing with TRIZ to streamline its reasoning process. Systems like PAT-ANALYZER and PaTRIZ automatically extract contradictory information from patent texts.

Large Language Models 136

Large Language Models Automation Natural Language Processing Categorization 136

Marktechpost

MARCH 10, 2024

Developing and refining Large Language Models (LLMs) has become a focal point of cutting-edge research in the rapidly evolving field of artificial intelligence, particularly in natural language processing. A recent survey by researchers from South China University of Technology, INTSIG Information Co.,

Large Language Models 115

Large Language Models Natural Language Processing LLM Categorization 115

Marktechpost

JULY 30, 2024

The University of Washington and Allen Institute for AI researchers have surveyed abstention in large language models, highlighting its potential to reduce hallucinations and enhance AI safety. The study reviews existing abstention methods, categorizes them by LLM development stages, and assesses various benchmarks and metrics.

Large Language Models 108

Large Language Models Categorization LLM Natural Language Processing 108

Marktechpost

AUGUST 24, 2024

Large Language Models (LLMs) like GPT-4, Qwen2, and LLaMA have revolutionized artificial intelligence, particularly in natural language processing. However, LLMs need more domain-specific knowledge, real-time information, and proprietary data outside their training corpus.

Natural Language Processing 64

Natural Language Processing Categorization Neural Network Large Language Models 64

Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. Prior attempts to evaluate LLMs on structured data concentrated on simple Information Extraction (IE) tasks, such as extracting relations, recognizing events, and identifying named entities.

Large Language Models 130

Large Language Models LLM Natural Language Processing Categorization 130

AssemblyAI

JANUARY 23, 2024

  By leveraging Deep Learning architectures and training on vast amounts of data, LLMs can process and understand more nuance and context in human language than traditional Natural Language Processing (NLP) models. 

Large Language Models 147

Large Language Models Natural Language Processing Categorization Automation 147

Unite.AI

AUGUST 27, 2024

It pulls from multiple trustworthy sources, so you don't have to juggle a bunch of tabs and feel overwhelmed by information. Verdict Perplexity AI delivers precise, evidence-backed answers with real-time, in-depth information and follow-up questions. Plus, despite citing its sources, its information may still be inaccurate.

ChatGPT 264

ChatGPT AI AI AI Tools 264

Pickl AI

NOVEMBER 20, 2024

Example In Natural Language Processing (NLP), word embeddings are often represented as vectors. Determinants and Inverses The determinant of a square matrix provides information about the matrix’s properties, such as whether it is invertible (non-singular) or not (singular).

Machine Learning 52

Machine Learning Neural Network Natural Language Processing Convolutional Neural Networks 52

IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Convolutional Neural Networks 188

Convolutional Neural Networks Data Mining Categorization Machine Learning 188

Becoming Human

MAY 9, 2024

Artificial intelligence, machine learning, natural language processing, and other related technologies are paving the way for a smarter “everything.” NLP in finance includes semantic analysis, information extraction, and text analysis. Using this data, financial analysts and organizations can make informed decisions.

NLP 52

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 52

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. This method involves hand-keying information directly into the target system. It is often easier to adopt due to its lower initial costs.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

Pickl AI

OCTOBER 21, 2024

By leveraging auxiliary information such as semantic attributes, ZSL enhances scalability, reduces data dependency, and improves generalisation. This innovative approach is transforming applications in computer vision, Natural Language Processing, healthcare, and more.

Natural Language Processing 52

Natural Language Processing Data Scarcity Computer Vision Machine Learning 52

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.

Machine Learning 132

Machine Learning LLM Natural Language Processing Categorization 132

AssemblyAI

NOVEMBER 6, 2024

Podcast Production AI-based tools make podcast production more efficient by transforming notes into entertaining or informative scripts and generating episode summaries for easy sharing. This boosts productivity and helps creators focus on content strategy.

AI 147

AI AI Natural Language Processing Categorization 147

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.

Large Language Models 98

Large Language Models Categorization LLM Natural Language Processing 98

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., rely on Language Models as their foundation. Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model.

Large Language Models 105

Large Language Models BERT Natural Language Processing Categorization 105

Marktechpost

OCTOBER 22, 2023

Words and phrases can be effectively represented as vectors in a high-dimensional space using embeddings, making them a crucial tool in the field of natural language processing (NLP). FastEmbed is a compact yet powerful library for generating embeddings in large databases.

Python 115

Python Natural Language Processing Categorization NLP 115

Unite.AI

SEPTEMBER 18, 2023

Types of AI in ITSM AI in ITSM can be categorized into three types: automation, chatbots, and predictive analysis. Modern AI chatbots are equipped with Natural Language Processing ( NLP ) to understand and respond to user queries in a more human-like manner. ” That is really golden information.

Chatbots 261

Chatbots Automation AI AI 261