IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

Conversational AI 263

Conversational AI Chatbots NLP AI 263

Unite.AI

APRIL 16, 2024

Additionally, the integration of automation technologies such as robotic process automation (RPA) and artificial intelligence (AI) is streamlining compliance workflows. By automating mundane tasks, these technologies also allow organizations to allocate resources more strategically.

Automation 162

Automation Natural Language Processing AI AI 162

Topbots

APRIL 11, 2023

BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers. This model marked a new era in NLP with pre-training of language models becoming a new standard. What is the goal? accuracy on SQuAD 1.1

NLP 98

NLP Large Language Models BERT Natural Language Processing 98

John Snow Labs

OCTOBER 19, 2023

Understanding the Impact of Bias on NLP Models Why test NLP models for Bias? Natural Language Processing (NLP) models rely heavily on bias to function effectively. This is due to the fact that bias helps NLP models to identify important features and relationships among data points.

NLP 52

NLP Natural Language Processing AI AI 52

ODSC - Open Data Science

MAY 24, 2023

Generative NLP Models in Customer Service: Evaluating Them, Challenges, and Lessons Learned in Banking Editor’s note: The authors are speakers for ODSC Europe this June. Be sure to check out their talk, “ Generative NLP models in customer service. How to evaluate them?

NLP 52

NLP Neural Network Natural Language Processing Data Scientist 52

Heartbeat

JULY 11, 2023

Photo by Oleg Laptev on Unsplash By improving many areas of content generation, optimization, and analysis, natural language processing (NLP) plays a crucial role in content marketing. Artificial intelligence (AI) has a subject called natural language processing (NLP) that focuses on how computers and human language interact.

NLP 40

NLP Natural Language Processing Chatbots Algorithm 40

IBM Journey to AI blog

MAY 17, 2024

  In the context of this rapid advancement, generative AI and automation have the capacity to create more fundamentally relevant and contextually appropriate buying experiences. Traditional AI can enhance international purchasing by automating tasks such as currency conversions and tax calculations.

Generative AI 145

Generative AI Automation AI AI 145

Becoming Human

MARCH 12, 2024

It automates document analysis, enhances the identification of relevant legal principles, and establishes new benchmarks in the field. Applications of AI in legal research automation AI is reshaping legal research, introducing sophisticated tools that redefine how professionals conduct research, strategize, and engage with clients.

Automation 105

Automation Artificial Intelligence Artificial Intelligence NLP 105

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. The team has performed a thorough study and categorization of numerous contemporary research projects that make use of these tactics.

Large Language Models 98

Large Language Models Categorization LLM Natural Language Processing 98

Dlabs.ai

JUNE 11, 2019

This means processing about 75,000 incoming invoices a year that all need to be evaluated and categorized. It took two full-time employees to categorize all the documents. We chose to implement custom-made classification and normalization machine learning algorithms based on NLP (natural language processing).

Automation 52

Automation Categorization Natural Language Processing Machine Learning 52

John Snow Labs

APRIL 22, 2024

While large language models (LLMs) have demonstrated impressive capabilities in various natural language processing (NLP) tasks, their performance in this domain has been limited by the inherent complexities of medical language and the nuances involved in interpreting clinical narratives.

NLP 64

NLP Categorization Natural Language Processing BERT 64

Aiiot Talk

JULY 18, 2023

Consider the applications of natural language processing (NLP) in an LMS. A natural language generation model automates content creation , making data-driven decisions to ensure the subjects accurately reflect the instruction. NLP often accompanies it to translate language into a medium it can understand.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 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.    Source: Pathlight 4.

Large Language Models 147

Large Language Models Natural Language Processing Categorization Automation 147

Unite.AI

JANUARY 5, 2024

What tasks could be automated and what AI tools align with your design goals? One of the most beneficial aspects of incorporating AI into a UX designer’s toolkit is the potential to automate routine tasks, thereby expediting their workflow. UX design, being an iterative process, can hugely benefit from automating A/B testing processes.

UX Design 182

UX Design Artificial Intelligence Artificial Intelligence Algorithm 182

AWS Machine Learning Blog

AUGUST 2, 2023

The textual description is added as metadata to an Amazon Kendra search index via an automated custom document enrichment (CDE). It allows users to quickly and easily find the images they need without having to manually tag or categorize them. GenAI-based image captioning is particularly useful for automating this laborious process.

Automation 71

Automation Generative AI Metadata Data Scientist 71

IBM Journey to AI blog

OCTOBER 16, 2023

Voice-based queries use Natural Language Processing (NLP) and sentiment analysis for speech recognition. This communication can involve speech recognition, speech-to-text conversion, NLP, or text-to-speech. Text-based queries are usually handled by chatbots, virtual agents that most businesses provide on their e-commerce sites.

Machine Learning 129

Machine Learning ML Algorithm Chatbots 129

Artificial Corner

JULY 30, 2023

Deep learning techniques can be used to automate processes that ordinarily require human intellect, such as text-to-sound transcription or the description of photographs. Natural Language Processing (NLP) is a subfield of artificial intelligence. What are large language models used for?

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

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. What is text mining?

Convolutional Neural Networks 144

Convolutional Neural Networks Data Mining Categorization Machine Learning 144

Towards AI

FEBRUARY 3, 2024

From Predicting the behavior of a customer to automating many tasks, Machine learning has shown its capacity to convert raw data into actionable insights. NLP Project: Speech recognition, chatbots, …. As I mentioned few models in the first step as in the scope of the project like Regression, NLP, classification, …….

Machine Learning 112

Machine Learning Data Scientist NLP ML 112

Defined.ai blog

FEBRUARY 26, 2023

Categorize Me This!”  — Content Categorization: Are you looking for a more organized and efficient way to review and analyze the content from your online meetings? Abridge has an AI-powered platform that categorizes meeting content into topics, actions, and decisions.

Categorization 98

Categorization AI AI Automation 98

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., Regex generation Regular expression generation is time-consuming for developers; however, Autoregex.xyz leverages GPT-3 to automate the process.

Large Language Models 104

Large Language Models BERT Natural Language Processing Categorization 104

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. This article will provide an overview of NLP sentiment analysis, how it works, and the different approaches that can be taken to assess sentiment. What is NLP Sentiment Analysis?

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Computer Vision 52

Marktechpost

JULY 17, 2023

Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques are used in the process of AI content detection to automatically recognize and assess the content of a text. A content management system (CMS) is frequently used to manage workflow and automate processes. Here are some of the tools to check AI content.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing NLP 52

John Snow Labs

MAY 10, 2023

NLP is the technological innovator across every industry as it is shaping the future of humanity in various ways. With the support of NLP, doctors can be better equipped to make better diagnoses and analyze patients’ conditions. Significance of NLP in Healthcare Let’s discuss some uses of NLP in Healthcare.

Natural Language Processing 52

Natural Language Processing NLP Categorization Big Data 52

Towards AI

MARCH 28, 2023

These AI systems use various technologies, such as Natural Language Processing (NLP), Speech Recognition, and Speech Synthesis, to understand, process, and generate human-like responses. They are used to automate customer service interactions, provide information, and handle simple tasks, such as scheduling appointments or ordering products.

Computational Linguistics 52

Computational Linguistics Conversational AI Natural Language Processing Chatbots 52

Topbots

OCTOBER 4, 2023

Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., spam vs. not spam), while generative NLP models can create new text based on a given prompt (e.g., a social media post or product description).

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Mlearning.ai

JULY 23, 2023

Introducing Natural Language Processing (NLP) , a branch of artificial intelligence (AI) specifically designed to give computers the ability to understand text and spoken words in much the same way as human beings. Text Classification : Categorizing text into predefined categories based on its content. So, how do they do that?

Explainability 52

Explainability Categorization Algorithm NLP 52

Pragnakalp

APRIL 10, 2023

This is where our Resume Parser powered by ChatGPT can be helpful and revolutionize the recruitment process by automating the extraction of relevant information from unstructured resumes, saving time, reducing errors, and improving efficiency. It can extract key information and categorize them into relevant sections.

ChatGPT 52

ChatGPT Categorization NLP Automation 52

Marktechpost

JULY 7, 2023

In recent research conducted by Rezilion, a renowned automated software supply chain security platform, experts have investigated this exact issue, and the findings will surprise us. It turns out that almost all of these LLMs (open-sourced) and projects deal with major security concerns, which the experts have categorized as follows: 1.

LLM 109

LLM Explainability Large Language Models Machine Learning 109

IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. NLP techniques help them parse the nuances of human language, including grammar, syntax and context. Most experts categorize it as a powerful, but narrow AI model.

Neural Network 239

Neural Network LLM AI AI 239

Marktechpost

SEPTEMBER 8, 2023

In addition, it may be used to implement text classifiers and text extractors, which facilitate automated topic and intent-based data sorting and the extraction of product features and user data, respectively. Alteryx’s strength is its capability to automate mundane processes.

AI Tools 132

AI Tools Machine Learning Data Science Data Analysis 132

Becoming Human

MAY 12, 2023

By automating routine tasks and processes to streamlining operations with enhanced efficiency, accuracy, and cost-effectiveness, AI has proven to revolutionize virtually every industry, be it healthcare, education, retail, finance, or agriculture. However, this promises the accurate annotation and labeling of images.

Machine Learning 81

Machine Learning Computer Vision Automation Artificial Intelligence 81

Defined.ai blog

FEBRUARY 26, 2023

Categorize Me This!”  — Content Categorization: Are you looking for a more organized and efficient way to review and analyze the content from your online meetings? Abridge has an AI-powered platform that categorizes meeting content into topics, actions, and decisions.

Categorization 52

Categorization AI AI Automation 52

Pickl AI

APRIL 25, 2023

There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. Industry, healthcare, agriculture, and transportation are just a few of the industries that use robotics to automate labor-intensive or dangerous tasks, increase output, and reduce costs.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 52

Pickl AI

AUGUST 7, 2023

Tools and Automation: For large-scale projects, data labeling can be time-consuming. Therefore, some organizations use data labeling tools and even incorporate automation techniques (e.g., In this use case, data labeling teams use guidelines to identify and categorize various types of named entities correctly.

Machine Learning 52

Machine Learning Automation Natural Language Processing Artificial Intelligence 52

Explosion

FEBRUARY 15, 2023

As many large financial institutions push to use Natural Language Processing (NLP) to digitize their customer support channels, smaller financial institutions like credit unions and community banks are having a tough time to keep pace. Posh Technologies is a Boston, Massachusetts-based conversational AI and NLP technology development company.

Chatbots 59

Chatbots NLP Data Scientist OpenAI 59

Dlabs.ai

OCTOBER 14, 2022

Sentiment analysis (also known as opinion mining) is a popular NLP ( Natural Language Processing ) solution where one identifies feelings and emotions expressed in words. Save time and reduce your overheads Sentiment analysis is a fully-automated process that offers time and cost optimizations. What is sentiment analysis?

Categorization 52

Categorization Natural Language Processing Algorithm NLP 52