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. By using the pre-trained knowledge of LLMs, zero-shot and few-shot approaches enable models to perform NLP with minimal or no labeled data.

Automation 126

Automation Prompt Engineer Prompt Engineering Categorization 126

Flipboard

FEBRUARY 16, 2023

Natural language processing ( NLP ), while hardly a new discipline, has catapulted into the public consciousness these past few months thanks in large part to the generative AI hype train that is ChatGPT. ‘Data-centric’ NLP With NLP one of the hot AI trends of the moment, Kern AI today announced that it has raised €2.7

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NLP Data Scientist Natural Language Processing Automation 123

Marktechpost

FEBRUARY 23, 2025

More recent advancements in foundation models have demonstrated the feasibility of fully automated research pipelines, enabling AI systems to autonomously conduct literature reviews, formulate hypotheses, design experiments, analyze results, and even generate scientific papers.

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AI Research AI Researcher Software Engineer AI 95

IBM Journey to AI blog

JUNE 5, 2024

Modern SaaS analytics solutions can seamlessly integrate with AI models to predict user behavior and automate data sorting and analysis; and ML algorithms enable SaaS apps to learn and improve over time. The introduction of AI and ML technologies, however, can provide more nuanced observability and more effective decision automation.

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AWS Machine Learning Blog

JUNE 18, 2024

Despite the availability of technology that can digitize and automate document workflows through intelligent automation, businesses still mostly rely on labor-intensive manual document processing. Intelligent automation presents a chance to revolutionize document workflows across sectors through digitization and process optimization.

Automation 121

Automation IDP Generative AI Data Extraction 121

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?

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Conversational AI NLP Chatbots AI 291

Unite.AI

SEPTEMBER 18, 2023

However, the landscape is now evolving with Artificial Intelligence stepping onto the scene, adding a layer of sophistication and automation that promises to revolutionize the ITSM ecosystem. It also ventured into finance, automating trades and risk analysis. However, with AI-based automation, such tasks become a breeze.

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Chatbots Automation Algorithm Natural Language Processing 261

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. Additionally, it poses a security risk when handling sensitive data, making it a less desirable option in the age of automation and digital security.

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Data Extraction Neural Network Large Language Models NLP 273

AWS Machine Learning Blog

NOVEMBER 1, 2024

The company identifies opportunities to automate claims processing, provide personalized policy recommendations, and improve risk assessment for clients across various regions. This tagging structure categorizes costs and allows assessment of usage against budgets. He focuses on Deep learning including NLP and Computer Vision domains.

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Generative AI Metadata Categorization AI 141

John Snow Labs

AUGUST 21, 2023

We are delighted to announce a suite of remarkable enhancements and updates in our latest release of Healthcare NLP. They assist in automating the extraction of important clinical information, facilitating research, medical documentation, and other applications within the Portuguese healthcare domain.

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NLP Categorization Natural Language Processing Automation 98

Unite.AI

NOVEMBER 10, 2024

Sentiment analysis to categorize mentions as positive, negative, or neutral. AI-powered insights to automate data interpretation. It uses natural language processing (NLP) algorithms to understand the context of conversations, meaning it's not just picking up random mentions! Easy reporting functionality.

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Categorization AI Tools Natural Language Processing Algorithm 147

Unite.AI

APRIL 18, 2024

The emergence of AI-powered software engineers, such as SWE-Agent developed by Princeton University's NLP group, Devin AI, represents a groundbreaking shift in how software is designed, developed, and maintained. One critical consideration is the potential impact on the software development workforce.

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Software Engineer Software Development LLM Auto-complete 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.,

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ODSC - Open Data Science

SEPTEMBER 12, 2024

Now that artificial intelligence has become more widely accepted, some daring companies are looking at natural language processing (NLP) technology as the solution. Many are turning to AI’s automation capabilities as a solution. When they need help deciphering or summarizing complex language, they can use NLP.

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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 NLP Neural Network 116

Unite.AI

SEPTEMBER 5, 2024

Laxis takes the burden off your shoulders by automating meeting transcriptions , CRM updates, and lead generation. It also boosts productivity with automated smart summaries and CRM integrations. It provides automated note-taking and insightful summaries. Seamlessly integrates with Google Meet, Zoom, and other platforms.

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Automation AI AI AI Tools 246

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

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NLP BERT Large Language Models Natural Language Processing 98

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.

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Automation Natural Language Processing Machine Learning AI 162

AssemblyAI

MAY 14, 2024

integrates with popular conferring tools to automate capturing and analyzing meeting conversations. Solutions like this save educators time by automating the scoring process and providing actionable data for targeted interventions that better support reading growth.     Fireflies.ai    3. Video Editing Veed.io

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Natural Language Processing Automation Robotics Categorization 147

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?

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Data Mining Convolutional Neural Networks Categorization Machine Learning 170

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.

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IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy. An open-source model, Google created BERT in 2018. All watsonx.ai

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John Snow Labs

SEPTEMBER 17, 2024

This NLP clinical solution collects data for administrative coding tasks, quality improvement, patient registry functions, and clinical research. Historically, there have been three major barriers to automating this process. Thus, the models that attain 90% accuracy, for example, are just insufficient.

NLP 52

NLP Natural Language Processing Categorization Automation 52

Becoming Human

MAY 9, 2024

Where interpreting raw financial data has become easier NLP, it is also helping us make better predictions and financial decisions. NLP in finance includes semantic analysis, information extraction, and text analysis. Within NLP, data labeling allows machine learning models to isolate finance-related variables in different datasets.

NLP 52

NLP Natural Language Processing Machine Learning Artificial Intelligence 52

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. NLP encompasses various applications, including language translation, sentiment analysis, and conversational agents, significantly enhancing how we interact with technology.

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NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 105

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.

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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.

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Large Language Models Categorization Natural Language Processing LLM 98

Heartbeat

JUNE 22, 2023

These automated technologies can deal with a variety of requests and duties, freeing up human agents to deal with more complicated problems. Natural language processing (NLP) can help with this. We’ll go through the fundamentals of NLP, how it relates to chatbots, and actual instances of NLP-driven chatbots used in different fields.

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NLP Chatbots Natural Language Processing Machine Learning 59

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.

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Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 130

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

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 94

Automation Generative AI Metadata Machine Learning 94

Chatbots Life

MAY 19, 2023

Automation rules today’s world. A chatbot is a technological genie that uses intelligent automation, ML, and NLP to automate tasks. It adds a digital flavor by automating your day-to-day IT tasks to help businesses work smarter. Modern service desks offer an automated ticketing system for staff.

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Chatbots Automation Auto-complete NLP 69

Heartbeat

AUGUST 23, 2023

Enter Natural Language Processing (NLP) and its transformational power. This is the promise of NLP: to transform the way we approach legal discovery. The seemingly impossible chore of sorting through mountains of legal documents can be accomplished with astonishing efficiency and precision using NLP.

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

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.

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Machine Learning ML Algorithm Chatbots 131

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 Deep Learning 147

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.

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Neural Network LLM Algorithm AI 256

AWS Machine Learning Blog

SEPTEMBER 13, 2024

In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. Using natural language processing (NLP) and OpenAPI specs, Amazon Bedrock Agents dynamically manages API sequences, minimizing dependency management complexities.

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