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

AWS Machine Learning Blog

APRIL 19, 2023

The ability to effectively handle and process enormous amounts of documents has become essential for enterprises in the modern world. Due to the continuous influx of information that all enterprises deal with, manually classifying documents is no longer a viable option.

Categorization 104

Categorization Machine Learning Natural Language Processing ML 104

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?

ESG 238

ESG Categorization Large Language Models NLP 238

AWS Machine Learning Blog

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. For documentation retrieval, Retrieval Augmented Generation (RAG) stands out as a key tool. Virginia) AWS Region. The following diagram illustrates the solution architecture.

Chatbots 132

Chatbots Automation Machine Learning DevOps 132

Unite.AI

NOVEMBER 19, 2024

For instance, AI can streamline the organization and categorization of files needed for review by investors or buyers, reducing human error and ensuring compliance with regulatory requirements. AI and and generative AI can automate many of the manual, time-consuming tasks that are critical to the due diligence process.

Automation 243

Automation Categorization AI AI 243

Unite.AI

MARCH 15, 2024

Categorical Searches: Users can search within categories such as tweets, papers, or blogs for more targeted and effective searching. Features Coding Assistance: Firstly, Phind is optimized for code generation and trained on extended code datasets and documentation. This AI search engine is free for basic use, or you can pay $10.00

AI 306

AI AI OpenAI Chatbots 306

AWS Machine Learning Blog

AUGUST 3, 2023

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Traditional document processing solutions are manual, expensive, error prone, and difficult to scale. FMs are transforming the way you can solve traditionally complex document processing workloads.

IDP 98

IDP Generative AI AI AI 98

ODSC - Open Data Science

OCTOBER 27, 2023

Companies in sectors like healthcare, finance, legal, retail, and manufacturing frequently handle large numbers of documents as part of their day-to-day operations. These documents often contain vital information that drives timely decision-making, essential for ensuring top-tier customer satisfaction, and reduced customer churn.

IDP 98

IDP LLM Large Language Models AI 98

Unite.AI

MAY 29, 2024

Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text. By accessing a vast corpus of documents during the generation process, RAG transforms basic language models into dynamic tools tailored for both business and consumer applications.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

AssemblyAI

AUGUST 26, 2024

On the other hand, for less critical applications, like preliminary content categorization of user-submitted audio files, you might set a lower threshold. You can then use this initial categorization to guide further processing or manual review where needed. . "status":

Categorization 232

Categorization Automation 232

Marktechpost

MAY 3, 2024

This interdisciplinary field incorporates linguistics, computer science, and mathematics, facilitating automatic translation, text categorization, and sentiment analysis. In sequential single interaction, retrievers identify relevant documents, which the language model then uses to predict the output.

Natural Language Processing 138

Natural Language Processing Large Language Models Categorization BERT 138

Unite.AI

DECEMBER 10, 2024

Whether it's in eDiscovery, case building, or document review, Cecilia AI gives lawyers advanced tools to get to the facts of their case more quickly, which ultimately empowers them to provide better service to their clients. For our eDiscovery users, a key focus is on evidence investigation and document production.

Categorization 147

Categorization Generative AI Large Language Models Automation 147

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Document categorization or classification has significant benefits across business domains – Improved search and retrieval – By categorizing documents into relevant topics or categories, it makes it much easier for users to search and retrieve the documents they need. politics, sports) that a document belongs to.

Categorization 123

Categorization Machine Learning Data Scientist Natural Language Processing 123

Unite.AI

FEBRUARY 8, 2025

I have included a mix of project management, brainstorming, document, and coding collaboration platforms to give a full view. ClickUp All-in-One Collaboration with AI Brain ClickUp is an all-in-one workspace that combines project management, documents, whiteboards, and chat. Visit Miro 2. Visit Teamwork 5.

Auto-complete 173

Auto-complete AI AI Automation 173

IBM Journey to AI blog

AUGUST 28, 2023

These are two common methods for text representation: Bag-of-words (BoW): BoW represents text as a collection of unique words in a text document. Term frequency-inverse document frequency (TF-IDF): TF-IDF calculates the importance of each word in a document based on its frequency or rarity across the entire dataset.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

AWS Machine Learning Blog

JUNE 18, 2024

Many companies across all industries still rely on laborious, error-prone, manual procedures to handle documents, especially those that are sent to them by email. Intelligent automation presents a chance to revolutionize document workflows across sectors through digitization and process optimization.

Automation 123

Automation IDP Generative AI Data Extraction 123

AssemblyAI

JANUARY 2, 2024

  Build documentation: Users can easily create documentation of a recording, making it simple to craft onboarding materials, written tutorials, and how-to guides. 

Categorization 162

Categorization AI AI Large Language Models 162

Marktechpost

FEBRUARY 4, 2024

The effectiveness of these developed systems heavily relies on the types of documents they retrieve. Conventional IR methods emphasize fetching documents that are directly relevant or related to the query. It reveals that including documents that might initially seem irrelevant can significantly enhance the system’s accuracy.

Machine Learning 131

Machine Learning Large Language Models Categorization AI 131

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression. temperature, salary).

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Marktechpost

MAY 9, 2024

Neglecting this preliminary stage may result in inaccurate tokenization, impacting subsequent tasks such as sentiment analysis, language modeling, or text categorization. Document Extraction: Unstructured is excellent at extracting metadata and document elements from a wide range of document types.

NLP 120

NLP Natural Language Processing Metadata Large Language Models 120

AssemblyAI

DECEMBER 19, 2024

Here’s an example of a workflow a company could build to use these models together:  Take a customer support call: The system transcribes the conversation, identifies the customer's issue through NLP, detects frustration through sentiment analysis, categorizes the problem type, and flags important moments for review.

Natural Language Processing 130

Natural Language Processing Categorization Automation NLP 130

Marktechpost

JANUARY 21, 2024

This dataset focuses on three pivotal aspects prevalent in search-related tasks: query understanding, document understanding, and the intricate relationship between queries and documents. In the context of search tasks, distinct from typical NLP tasks, the focus revolves around queries and documents.

Large Language Models 140

Large Language Models Natural Language Processing Categorization NLP 140

AWS Machine Learning Blog

FEBRUARY 20, 2025

PAAS now includes PAAS AI, the first commercially available interactive generative-AI chats specifically developed for premium audit, which reduces research time and empower users to make informed decisions by answering questions and quickly retrieving and summarizing multiple PAAS documents like class guides, bulletins, rating cards, etc.

Generative AI 117

Generative AI LLM Auto-classification Categorization 117

Unite.AI

MAY 10, 2024

AI-powered research paper summarizers have emerged as powerful tools, leveraging advanced algorithms to condense lengthy documents into concise and readable summaries. This makes it easier to navigate and summarize complex research papers, as the tool can highlight important entities, relationships, and topics within the document.

AI Researcher 147

AI Researcher AI Research Natural Language Processing Machine Learning 147

IBM Journey to AI blog

JANUARY 19, 2024

Together, these documents help ensure businesses are prepared to face a variety of threats including power outages, ransomware and malware attacks, natural disasters and many more. Disaster recovery plans (DRPs) are detailed documents describing how companies will respond to different types of disasters.

Categorization 284

Categorization 284

IBM Journey to AI blog

NOVEMBER 10, 2023

Categorize the types of data you need to migrate and identify any redundancy by combing through the data and cleaning for accuracy. Things to remember during the testing phase: Keep track of user acceptance criteria and document the information. Check for user accessibility by conducting reviews and reviewing feedback.

Automation 332

Automation Categorization AI AI 332

IBM Journey to AI blog

JANUARY 29, 2024

This step must document expectations and consider how individuals will communicate during an unplanned incident. You can use the following labels to categorize each asset and prioritize its protection—critical, important and unimportant. Critical: Label assets critical if you depend on them for your normal business operations.

Categorization 273

Categorization 273

John Snow Labs

SEPTEMBER 17, 2024

Second, the information is frequently derived from natural language documents or a combination of structured, imaging, and document sources. OCR The first step of document processing is usually a conversion of scanned PDFs to text information. Thirdly, near-perfect precision is necessary for medical decision-making.

NLP 52

NLP Natural Language Processing Categorization Automation 52

Unite.AI

APRIL 16, 2024

AI-powered tools offer the capability to navigate vast databases, analyze clinical research data, streamline document searches, and access worldwide regulatory news. With the integration of AI, tasks that were once time-consuming and tedious have been streamlined to enhance efficiency and accuracy in regulatory research.

Automation 162

Automation Natural Language Processing Machine Learning AI 162

Marktechpost

JUNE 19, 2024

This can lead to difficulties in understanding the content of the documents and making meaningful connections between them. These models also offer limited control over the specificity and formatting of topics, hindering their practical application in content analysis and other fields requiring clear thematic categorization.

Large Language Models 103

Large Language Models Categorization LLM AI 103

Marktechpost

MARCH 22, 2024

To build a well-documented ML pipeline, data traceability is crucial. Monitoring the original data’s usage, transformation, and compliance with licensing requirements becomes difficult without adequate documentation. Because it can handle numeric, textual, and categorical data, DATALORE normally beats EDV in every category.

Machine Learning 135

Machine Learning Explainability Categorization ETL 135

IBM Journey to AI blog

AUGUST 1, 2023

Incident management and problem management are both governed by the Information Technology Infrastructure Library (ITIL) , a widely adopted guidance framework for implementing and documenting both management approaches. Incident documentation and communication: This is a crucial step of the incident lifecycle to help avoid future incidents.

Automation 179

Automation Categorization DevOps Explainability 179

Unite.AI

JUNE 11, 2024

Languages supported by Qwen2 models, categorized by geographical regions By expanding its linguistic repertoire, Qwen2 demonstrates an exceptional ability to comprehend and generate content across a wide range of languages, making it an invaluable tool for global applications and cross-cultural communication.

Large Language Models 182

Large Language Models Natural Language Processing Categorization Artificial Intelligence 182

Unite.AI

FEBRUARY 20, 2025

A Unified Work Management Platform for Every Industry SmartSuite delivers an all-in-one solution that combines project management, process automation, document collaboration, and real-time team coordination. SmartSuites no-code approach is reshaping how teams collaborate, plan, and executeall within a single, intuitive platform.

Automation 147

Automation Categorization Artificial Intelligence Artificial Intelligence 147

Marktechpost

JANUARY 2, 2025

With AI-powered features like text recognition, content categorization, and smart search, Evernote ensures that users can quickly locate notes, even within images or scanned documents. Users can create notebooks, categorize content, and collaborate in real time with colleagues.

AI Tools 88

AI Tools Categorization AI AI 88

Marktechpost

JULY 6, 2024

Existing methods for evaluating summarization performance often focus on short-input, single-document settings. The researchers created synthetic Haystacks of documents, ensuring specific insights were repeated across these documents. Each Haystack typically contains around 100 documents, totaling approximately 100,000 tokens.

AI Researcher 111

AI Researcher AI Research Large Language Models Natural Language Processing 111

Marktechpost

NOVEMBER 5, 2023

For both the “head” and “middle” buckets, the researchers compute over 40 of the most popular quality annotations and the text documents processed by CCNet. Along with these minhash signatures, the team also do exact deduplication by applying a Bloom filter to the document’s sha1 hash digest.

Large Language Models 126

Large Language Models LLM Categorization Machine Learning 126