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 130

AI Researcher AI Research Natural Language Processing Machine Learning 130

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.

Large Language Models 128

Large Language Models Machine Learning Categorization AI 128

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

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 AI AI 162

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 LLM 306

Unite.AI

MARCH 14, 2024

Risk-Based Categorization of AI Technologies Central to the Act is its innovative risk-based framework, which categorizes AI systems into four distinct levels: unacceptable, high, medium, and low risk. The ‘unacceptable' category includes AI systems deemed too harmful for use in European society, leading to their outright ban.

Artificial Intelligence 182

Artificial Intelligence Artificial Intelligence Categorization AI 182

Towards AI

MARCH 26, 2024

RAG allows LLMs to refer to external documents for answers, but this approach doesn’t fully utilize the learning potential in specific domain settings or make use of available documents beforehand. However, this method may not always take advantage of documents during the testing phase or may overlook errors in document retrieval.

Large Language Models 86

Large Language Models Machine Learning Categorization Artificial Intelligence 86

Becoming Human

MAY 9, 2024

Document categorization includes sorting documents into groups for better classification and organization. Optical character recognition is a classification and organization NLP technique for document classification and digitization. The categories can be customized according to the data and requirements.

NLP 52

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 52

John Snow Labs

AUGUST 9, 2023

setInputCols(["document", "token"]).setOutputCol("class") setOutputCol("class") ) With the model, questions can be categorized. For example, the following text is categorized by the model as belonging to the copyright category. Who owns the copyright to all of this?

NLP 98

NLP Categorization 98

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

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 128

Large Language Models LLM Categorization AI 128

Marktechpost

APRIL 1, 2024

RAG enhances LLMs by retrieving relevant document chunks from the external knowledge base through semantic similarity calculation. The RAG research paradigm is continuously evolving, and RAG is categorized into three stages: Naive RAG, Advanced RAG, and Modular RAG.

LLM 125

LLM Metadata Large Language Models Categorization 125

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.

Convolutional Neural Networks 144

Convolutional Neural Networks Data Mining Categorization Machine Learning 144

Marktechpost

AUGUST 15, 2023

These successes have been consistently documented across diverse benchmarks, and these models have showcased impressive capabilities in language understanding. 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

Marktechpost

OCTOBER 22, 2023

For very large documents or vocabulary sizes, this matrix can become unmanageably enormous. Applications of FastEmbed Machine Translation Text Categorization Answering Questions and Summarizing Documents Information Retrieval and Summarization FastEmbed is an efficient, lightweight, and precise toolkit for generating text embeddings.

Python 112

Python Natural Language Processing Categorization NLP 112

Becoming Human

MARCH 12, 2024

It automates document analysis, enhances the identification of relevant legal principles, and establishes new benchmarks in the field. Automated document analysis AI tools designed for law firms use advanced technologies like NLP and machine learning to analyze extensive legal documents swiftly.

Automation 105

Automation Artificial Intelligence Artificial Intelligence NLP 105

Becoming Human

MAY 9, 2024

The goal of NER is to automatically identify and categorize specific information from vast amounts of text. Document Classification : NER can help classify documents based on their class or category. This is especially useful for large-scale document management.

Natural Language Processing 52

Natural Language Processing NLP Categorization Data Mining 52

Ofemwire

MARCH 22, 2024

Summarize Extensive Content: Quickly grasp the essence of lengthy documents or articles through concise summaries provided by the AI, highlighting the main points and saving time. Extensive Content Summery: Perplexity AI Prompts: I’ve come across a comprehensive document on (Your Topic) that’s quite lengthy.

AI Tools 102

AI Tools Categorization AI AI 102

John Snow Labs

OCTOBER 10, 2023

In this presentation, I’ll demonstrate how the BioGPT generative language model, along with some fine-tuning, can be used for tasks like extracting biomedical relationships, addressing queries, categorizing documents, and creating definitions for biomedical terms.

Large Language Models 52

Large Language Models BERT Categorization NLP 52

John Snow Labs

APRIL 22, 2024

The ability to precisely comprehend the intricate details documented in clinical reports is essential for informing subsequent treatment decisions, adjusting therapeutic strategies, and ultimately improving patient outcomes. Step 1: Transforms raw texts to `document` document = DocumentAssembler().setInputCol("text").setOutputCol("document")

NLP 64

NLP Categorization Natural Language Processing BERT 64

Marktechpost

MARCH 10, 2024

Ltd, and INTSIG-SCUT Joint Lab on Document Analysis and Recognition has introduced novel dataset compilation and enhancement strategies to address these challenges. Utilizing machine learning algorithms, this tool efficiently sifts through text data, identifying and categorizing content that meets high-quality standards.

Large Language Models 110

Large Language Models Natural Language Processing LLM Categorization 110

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 155

Automation Categorization DevOps Explainability 155

AWS Machine Learning Blog

APRIL 11, 2024

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and extract information remains expensive, error prone, and difficult to scale. Categorizing documents is an important first step in IDP systems.

IDP 100

IDP Software Engineer Metadata Categorization 100

Pickl AI

AUGUST 1, 2023

It includes text documents, social media posts, customer reviews, emails, and more. Here are seven benefits of text mining: Information Extraction Text mining enables the extraction of relevant information from unstructured text sources such as documents, social media posts, customer feedback, and more.

Data Analysis 52

Data Analysis Python Categorization Data Mining 52

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 237

Categorization 237

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 250

Categorization 250

Marktechpost

DECEMBER 6, 2023

RAG enhances the capabilities of LLM by obtaining pertinent data from other sources, which is perfect for applications that query documents, databases, or other structured or unstructured data repositories. On the other hand, Fine-tuning lacks the guarantee of recall, making it less reliable. RAG prevents the utilization of smaller models.

Large Language Models 106

Large Language Models LLM Artificial Intelligence Artificial Intelligence 106

Towards AI

MAY 23, 2023

Triage and Categorization A vital part of customer service is managing and sorting incoming customer emails and forward it to the right department to follow through. LLMs can help analyze these emails, automatically categorizing them based on content, which might range from “Technical Support” to “Billing Inquiries”.

Large Language Models 90

Large Language Models Categorization LLM Automation 90

Mlearning.ai

JULY 17, 2023

It natively supports only numerical data, so typically an encoding is applied first for converting the categorical data into a numerical form. It can be applied to a wide range of domains and has numerous practical applications , such as customer segmentation, image and document categorization, anomaly detection, and social network analysis.

Categorization 52

Categorization Algorithm Deep Learning Data Analysis 52

Marktechpost

MARCH 13, 2024

This form of bias is particularly pernicious because it operates under the guise of linguistic preference, sidestepping overt racial categorizations. These stereotypes were not only more severe than any previously documented human bias but also showed a stark contrast to the models’ overtly positive associations with African Americans.

AI 97

AI AI Categorization Artificial Intelligence 97

Marktechpost

JULY 17, 2023

They have created several AI models, including the AI Content Detector, a machine-learning model that recognizes and categorizes various kinds of textual content. It can distinguish between different types of writing, including news articles, social media posts, and product evaluations, and categorize that material.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing NLP 52

Towards AI

MAY 1, 2024

In-depth Documentation- R facilitates repeatability by analyzing data using a script-based methodology. Transparency and cooperation are promoted in machine learning projects by the ease with which users may share code, document their analyses, and repeat results when developing code in R scripts.

Machine Learning 80

Machine Learning Algorithm Python Categorization 80

Marktechpost

OCTOBER 24, 2023

LLMs are proficient at recognizing and categorizing named entities in text, such as names of people, places, organizations, dates, and more. They can answer questions based on the information presented in a passage or document. They understand the context of the question and extract relevant information to provide accurate answers.

Natural Language Processing 98

Natural Language Processing Large Language Models Categorization Chatbots 98

Heartbeat

AUGUST 23, 2023

image source: stoodnt Time is important in the broad domain of legal discovery, where mountains of documents hide the answers to difficult cases. Every minute spent digesting jargon-filled texts and searching through mountains of legal documents delays justice and incurs significant costs.

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

Towards AI

MAY 12, 2024

The Advanced Driver Assistance System (ADAS) is a sis-tiered system that categorizes the different levels of autonomy. The most common types of AV sensors are RADAR, LiDAR, ultrasonic, camera, and global navigation systems [3]. It ranges from vehicles that are solely human-driven to those that are entirely autonomous, as shown in Figure 1.

Convolutional Neural Networks 100

Convolutional Neural Networks Neural Network Auto-classification Categorization 100

Artificial Corner

JULY 30, 2023

Large language Models also intersect with Generative Ai, it can perform a variety of Natural Language Processing tasks, including generating and classifying text, question answering, and translating text from one language to another language, and Document summarization. What are large language models used for?

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

Mlearning.ai

JUNE 23, 2023

Stats for Numerical Features In this case we don’t need to worry much about warings about zeros because in stroke data documentation 0 refers if the patient doesn’t have any diseases, 1 if the patient has a disease. So actually its a categorical value which can be ignored. Only thing to worry here is their unbalance. which is odd.

Data Drift 52

Data Drift Categorization Auto-complete Machine Learning 52