Unite.AI

DECEMBER 5, 2024

In addition, AI efficiently categorizes threats by assessing their potential severity, impact and damage. These chatbots have natural language processing algorithms that allow them to read, interpret and comprehend languages. This will trigger the incident response team to jump in and protect coverage.

Data Analysis 173

Data Analysis Automation Natural Language Processing AI 173

Artificial Corner

AUGUST 29, 2023

Through these wordclouds, we can see which areas the airline should look into and review their processes on. Topic modelling is a type of statistical modelling in Natural Language Processing to identify topics among a collection of documents. Moving on to topic modelling. The new distribution will be equal as such.

Natural Language Processing 97

Natural Language Processing Machine Learning Data Analysis Data Science 97

Unite.AI

DECEMBER 7, 2024

These innovative platforms combine advanced AI and natural language processing (NLP) with practical features to help brands succeed in digital marketing, offering everything from real-time safety monitoring to sophisticated creator verification systems.

AI Tools 278

AI Tools Automation NLP Algorithm 278

Unite.AI

FEBRUARY 21, 2025

Plus, natural language processing (NLP) and AI-driven search capabilities help businesses better understand user intent, enabling them to optimize product descriptions and attributes to match how customers actually search. to create those tailored product recommendations.

Natural Language Processing 147

Natural Language Processing NLP Categorization Algorithm 147

Analytics Vidhya

JULY 3, 2019

Overview Presenting 11 data science videos that will enhance and expand your current skillset We have categorized these videos into three fields – Natural. The post 11 Superb Data Science Videos Every Data Scientist Must Watch appeared first on Analytics Vidhya.

Data Scientist 307

Data Scientist Data Science Categorization Natural Language Processing 307

SAS Software

APRIL 4, 2024

Each stone needs to be carefully examined, categorized and placed in the correct bucket, which takes about five minutes per stone. Streamlining government regulatory responses with natural language processing, GenAI and text analytics was published on SAS Voices by Tom Sabo Fortunately, you’re not alone but part of [.]

Natural Language Processing 64

Natural Language Processing Text Analytics Categorization Large Language Models 64

AssemblyAI

NOVEMBER 6, 2024

Customer Service and Support Speech AI technology provides more accurate, insightful call analysis by automatically categorizing, summarizing, and extracting actionable insights from customer calls—such as flagging questions and complaints.

AI 147

AI AI Natural Language Processing Categorization 147

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

Unite.AI

JUNE 2, 2023

Based on this, it makes an educated guess about the importance of incoming emails, and categorizes them into specific folders. In addition to the smart categorization of emails, SaneBox also comes with a feature named SaneBlackHole, designed to banish unwanted emails.

Categorization 261

Categorization Natural Language Processing Automation Machine Learning 261

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 238

ESG Categorization Large Language Models NLP 238

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.

Neural Network 127

Neural Network Natural Language Processing Categorization Explainability 127

AWS Machine Learning Blog

DECEMBER 23, 2024

Lettrias in-house team manually assessed the answers with a detailed evaluation grid, categorizing results as correct, partially correct (acceptable or not), or incorrect. An example multi-hop query in finance is Compare the oldest booked Amazon revenue to the most recent.

Generative AI 128

Generative AI Natural Language Processing Prompt Engineer Prompt Engineering 128

Towards AI

FEBRUARY 10, 2025

We have used machine learning models and natural language processing (NLP) to train and identify distress signals. We have categorized the posts into two main categories– those seeking help and those that do not.

Data Science 98

Data Science Machine Learning Natural Language Processing NLP 98

Unite.AI

NOVEMBER 10, 2024

Sentiment analysis to categorize mentions as positive, negative, or neutral. It uses natural language processing (NLP) algorithms to understand the context of conversations, meaning it's not just picking up random mentions! Clean and intuitive user interface that's easy to navigate. Easy reporting functionality.

Categorization 147

Categorization AI Tools Natural Language Processing Algorithm 147

Aiiot Talk

JANUARY 24, 2024

AI algorithms can categorize emails more effectively than traditional filters, prioritizing important messages and reducing the clutter of less relevant ones. The Complexity of Contextual Understanding Despite advancements in natural language processing, AI still struggles with understanding the nuances and context of human language fully.

Automation 231

Automation Artificial Intelligence Artificial Intelligence Natural Language Processing 231

Unite.AI

MAY 10, 2024

With its intelligent search capabilities and advanced natural language processing, Elicit helps researchers quickly identify the most relevant papers and understand their core ideas through automatically generated summaries.

AI Research 147

AI Research AI Researcher Natural Language Processing Machine Learning 147

Marktechpost

APRIL 30, 2024

PEFT’s applicability extends beyond Natural Language Processing (NLP) to computer vision (CV), garnering interest in fine-tuning large-parameter vision models like Vision Transformers (ViT) and diffusion models, as well as interdisciplinary vision-language models.

Large Language Models 132

Large Language Models Categorization Natural Language Processing Algorithm 132

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. Let's look into these more closely in the following sections.

Chatbots 261

Chatbots Automation Algorithm Natural Language Processing 261

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g.,

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

AWS Machine Learning Blog

MARCH 20, 2025

Next, Amazon Comprehend or custom classifiers categorize them into types such as W2s, bank statements, and closing disclosures, while Amazon Textract extracts key details. Additional processing is needed to standardize formats, manage JSON outputs, and align data fields, often requiring manual integration and multiple API calls.

Automation 104

Automation IDP Generative AI Prompt Engineer 104

AWS Machine Learning Blog

JANUARY 22, 2025

Users can review different types of events such as security, connectivity, system, and management, each categorized by specific criteria like threat protection, LAN monitoring, and firmware updates. Presently, his main area of focus is state-of-the-art natural language processing. 2024-10-{01/00:00:00--02/00:00:00}.

Prompt Engineer 109

Prompt Engineer Prompt Engineering Natural Language Processing Machine Learning 109

Marktechpost

FEBRUARY 22, 2024

In computer vision, convolutional networks acquire a semantic understanding of images through extensive labeling provided by experts, such as delineating object boundaries in datasets like COCO or categorizing images in ImageNet. This approach has demonstrated effectiveness in natural language processing and reinforcement learning.

Computer Vision 130

Computer Vision Natural Language Processing Neural Network Categorization 130

Marktechpost

AUGUST 31, 2024

Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. Categorized: Refines the flagging mechanism by incorporating granular hallucination categories, including a specific category (hallu12) to signal inconsistencies where the text is not a hallucination.

Large Language Models 128

Large Language Models Categorization LLM Explainability 128

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 113

Natural Language Processing Categorization NLP Neural Network 113

Marktechpost

APRIL 6, 2024

Recent advancements integrate machine learning and natural language processing with TRIZ to streamline its reasoning process. AutoTRIZ emphasizes controlling the problem-solving process while drawing problem-related knowledge from the pre-trained large-scale corpora used to train the LLM.

Large Language Models 135

Large Language Models Automation Natural Language Processing Categorization 135

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 124

Automation Prompt Engineer Prompt Engineering Categorization 124

Marktechpost

APRIL 10, 2024

The abundance of web-scale textual data available has been a major factor in the development of generative language models, such as those pretrained as multi-purpose foundation models and tailored for particular Natural Language Processing (NLP) tasks.

Machine Learning 133

Machine Learning Natural Language Processing Categorization NLP 133

AssemblyAI

MAY 14, 2024

It uses natural language processing to identify and organize discussion points, decisions, and future tasks. It automatically categorizes, summarizes, and extracts actionable insights from customer calls, such as flagging questions and complaints.   Fireflies.ai

Natural Language Processing 147

Natural Language Processing Automation Robotics Categorization 147

Marktechpost

MAY 7, 2024

The rapid advancement of Large Language Models (LLMs) has sparked interest among researchers in academia and industry alike. Moreover, differences in data table structures between BI and traditional SQL contexts further complicate the translation process.

Business Intelligence 117

Business Intelligence Prompt Engineering Prompt Engineer Natural Language Processing 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 122

NLP Natural Language Processing Metadata Large Language Models 122

Unite.AI

AUGUST 22, 2023

In a nutshell, Algolia NeuralSearch integrates keyword matching with vector-based natural language processing , powered by LLMs, in a single API – an industry first. In September 2022, Search.io Moreover, Adaptive Learning based on user feedback fine-tunes intent understanding.

Big Data 246

Big Data Neural Network Natural Language Processing Machine Learning 246

Unite.AI

JUNE 11, 2024

This multilingual training regimen includes languages from diverse regions such as Western Europe, Eastern and Central Europe, the Middle East , Eastern Asia and Southern Asia. By effectively processing extended contexts, Qwen2 can provide more accurate and comprehensive responses, unlocking new frontiers in natural language processing.

Large Language Models 182

Large Language Models Natural Language Processing Categorization Artificial Intelligence 182

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 significant innovation in this domain is creating a specialized tool to refine the dataset compilation process.

Large Language Models 113

Large Language Models Natural Language Processing Categorization LLM 113

AssemblyAI

JANUARY 30, 2025

These platforms combine AI speech recognition, natural language processing, and machine learning to analyze every customer conversation automatically. What is conversation intelligence? Conversation intelligence turns customer interactions into actionable business insights.

Automation 130

Automation Natural Language Processing Actionable Intelligence Categorization 130

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. Check out the Paper.

Natural Language Processing 104

Natural Language Processing Large Language Models Chatbots Explainability 104

Artificial Corner

JULY 30, 2023

Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. Image by YouTube video “Introduction to large language models” on YouTube Channel “Google Cloud Tech” What are Large Language Models? Natural Language Processing (NLP) is a subfield of artificial intelligence.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

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.

Large Language Models 128

Large Language Models LLM Natural Language Processing Categorization 128