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

Artificial Corner

AUGUST 29, 2023

As a data scientist at BA, our job will be to apply our data analysis and machine learning skills to derive insights that help BA drive revenue upwards. Through these wordclouds, we can see which areas the airline should look into and review their processes on. They are a flag carrier airline of the UK. Thank you for reading!

Natural Language Processing 97

Natural Language Processing Machine Learning Data Analysis Data Science 97

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

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 131

Machine Learning ML Algorithm Chatbots 131

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

OCTOBER 18, 2023

The recent results of machine learning in drug discovery have been largely attributed to graph and geometric deep learning models. Like other deep learning techniques, they need a lot of training data to provide excellent modeling accuracy. If you like our work, you will love our newsletter. We are also on WhatsApp.

Machine Learning 124

Machine Learning Deep Learning Neural Network Natural Language Processing 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. If you like our work, you will love our newsletter.

Machine Learning 131

Machine Learning Natural Language Processing Categorization NLP 131

Marktechpost

NOVEMBER 27, 2024

In today’s world, you’ve probably heard the term “Machine Learning” more than once. Machine Learning, a subset of Artificial Intelligence, has emerged as a transformative force, empowering machines to learn from data and make intelligent decisions without explicit programming. housing prices, stock prices).

Machine Learning 111

Machine Learning Algorithm Neural Network Convolutional Neural Networks 111

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

AWS Machine Learning Blog

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. Next, Amazon Comprehend or custom classifiers categorize them into types such as W2s, bank statements, and closing disclosures, while Amazon Textract extracts key details.

Automation 106

Automation IDP Generative AI Prompt Engineer 106

AWS Machine Learning Blog

APRIL 4, 2025

They use real-time data and machine learning (ML) to offer customized loans that fuel sustainable growth and solve the challenges of accessing capital. The classification process needed to operate with low latency to support Lumis market-leading speed-to-decision commitment. This post is co-written with Paul Pagnan from Lumi.

Auto-classification 76

Auto-classification BERT Machine Learning AI 76

Unite.AI

JUNE 11, 2024

One of the major focuses over the years of AutoML is the hyperparameter search problem, where the model implements an array of optimization methods to determine the best performing hyperparameters in a large hyperparameter space for a particular machine learning model. ai, IBM Watson AI, Microsoft AzureML, and a lot more.

Auto-classification 263

Auto-classification Machine Learning Data Scientist Metadata 263

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. Daniel Pienica is a Data Scientist at Cato Networks with a strong passion for large language models (LLMs) and machine learning (ML).

Prompt Engineer 105

Prompt Engineer Prompt Engineering Natural Language Processing Machine Learning 105

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

AWS Machine Learning Blog

FEBRUARY 6, 2025

These variables often involve complex sequences of events, combinations of occurrences and non-occurrences, as well as detailed numeric calculations or categorizations that accurately reflect the diverse nature of patient experiences and medical histories. About the Authors Javier Beltrn is a Senior Machine Learning Engineer at Aetion.

Generative AI 70

Generative AI Natural Language Processing Machine Learning LLM 70

Towards AI

FEBRUARY 20, 2024

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. You might be using machine learning algorithms from everything you see on OTT or everything you shop online.

Machine Learning 109

Machine Learning ML Neural Network Algorithm 109

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

Topbots

JUNE 22, 2023

ChatGPT is a GPT ( G enerative P re-trained T ransformer) machine learning (ML) tool that has surprised the world. SA is a very widespread Natural Language Processing (NLP). So, to make a viable comparison, I had to: Categorize the dataset scores into Positive , Neutral , or Negative labels.

Machine Learning 111

Machine Learning ChatGPT Natural Language Processing Categorization 111

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 Researcher 147

AI Researcher AI Research Natural Language Processing Machine Learning 147

Marktechpost

JULY 24, 2024

Automated Machine Learning has become essential in data-driven decision-making, allowing domain experts to use machine learning without requiring considerable statistical knowledge. This innovative approach holds promise for revolutionizing the field of Automated Machine Learning.

Machine Learning 107

Machine Learning ML Natural Language Processing Computer Vision 107

Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

Mlearning.ai

JANUARY 26, 2023

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. NLP sentiment analysis uses natural language processing (NLP) to identify, extract, and analyze sentiment from text data.

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Computer Vision 52

Marktechpost

JULY 23, 2023

Artificial intelligence and machine learning are two innovative leaders as the world benefits from technology’s draw to sectors globally. You choose your future when you select a machine learning tool. We’ll look at some well-known machine-learning tools in this article.

Machine Learning 97

Machine Learning Python Neural Network Deep Learning 97

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 122

Generative AI Natural Language Processing Prompt Engineer Prompt Engineering 122

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 124

Neural Network Natural Language Processing Categorization Explainability 124

Unite.AI

AUGUST 22, 2023

A few years later, I started learning C++, but designing and building computer games remained a really big passion of mine as a teenager just beginning to explore computer science. You spent over 7 years at Google, where you helped to build and lead teams working on strategy, operations, big data and machine learning.

Big Data 246

Big Data Neural Network Natural Language Processing Machine Learning 246

AWS Machine Learning Blog

OCTOBER 9, 2023

The problem with the increasing volume of customer reviews across multiple channels is that it can be challenging for companies to process and derive meaningful insights from the data using traditional methods. Machine learning (ML) can analyze large volumes of product reviews and identify patterns, sentiments, and topics discussed.

Machine Learning 96

Machine Learning Categorization ML DevOps 96

Marktechpost

NOVEMBER 23, 2024

The development of ML algorithms is transforming fields such as autonomous driving, robotics, and natural language processing. Various Machine learning approaches have been used to integrate domains. Compared to OpenABC-D, OpenLS-D-v1 offers more diversity, ensuring better representation for machine learning tasks.

Machine Learning 79

Machine Learning Natural Language Processing ML Categorization 79

IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. A foundation model is built on a neural network model architecture to process information much like the human brain does.

Generative AI 176

Generative AI Data Scientist Machine Learning BERT 176

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 119

Automation Prompt Engineer Prompt Engineering Categorization 119

John Snow Labs

MAY 10, 2023

Despite the laborious nature of the task, the notes are not structured in a way that can be effectively analyzed by a computer. Without Natural Language Processing, the unstructured data is of no use to modern computer-based algorithms. They used this information to classify patients into four different groups.

Natural Language Processing 52

Natural Language Processing NLP Categorization Data Scientist 52

Unite.AI

APRIL 16, 2024

By leveraging historical data and machine learning algorithms, companies can forecast regulatory trends and proactively adapt their compliance processes accordingly. One notable innovation in regulatory monitoring is the integration of natural language processing (NLP) and machine learning algorithms.

Automation 162

Automation Natural Language Processing Machine Learning AI 162

Probably Approximately a Scientific Blog

JANUARY 12, 2021

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). Machine learning models today perform reasonably well on perception tasks (image and speech recognition). Question answering systems are easily distracted by the addition of an unrelated sentence to the passage.

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

Becoming Human

MAY 12, 2023

In what ways do we understand image annotations, the underlying technology behind AI and machine learning (ML), and its importance in developing accurate and adequate AI training data for machine learning models? Overall, it shows the more data you have, the better your AI and machine learning models are.

Machine Learning 81

Machine Learning Computer Vision Artificial Intelligence Artificial Intelligence 81

John Snow Labs

MAY 24, 2023

Almost 90% of the machine learning models encounter delays and never make it into production. Developing a machine learning model requires a big amount of training data. Therefore, the data needs to be properly labeled/categorized for a particular use case.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Auto-classification 52

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

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 For example, Corti.ai

Natural Language Processing 147

Natural Language Processing Automation Robotics Categorization 147