IBM Journey to AI blog

JANUARY 8, 2024

The judiciary, like the legal system in general, is considered one of the largest “text processing industries” Language, documents, and texts are the raw material of legal and judicial work. As such, the judiciary has long been a field ripe for the use of technologies like automation to support the processing of documents.

Categorization 295

Categorization Automation AI AI 295

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 89

Categorization Machine Learning Natural Language Processing ML 89

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

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 121

Chatbots Automation Machine Learning DevOps 121

John Snow Labs

APRIL 30, 2024

Image results of NER detection using Visual NLP Introduction: What makes Named Entity Recognition crucial in comprehending documents? Named Entity Recognition (NER) is a pivotal tool in understanding documents because it identifies and categorizes specific entities mentioned within the text. Stay tuned!

NLP 52

NLP Categorization Natural Language Processing Explainability 52

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 82

IDP Generative AI AI AI 82

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 273

ESG Categorization Large Language Models NLP 273

AssemblyAI

SEPTEMBER 29, 2023

It would take weeks to filter and categorize all of the information to identify common issues or patterns. By using Audio Intelligence, LLMs and frameworks, companies can build on top of ASR to create tools that categorize content, increase searchability, aid in podcast or video editing, and intelligently synthesize this information.

Categorization 264

Categorization Auto-complete AI Modeling Large Language Models 264

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 AI 261

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 135

Natural Language Processing Large Language Models Categorization BERT 135

Marktechpost

AUGUST 17, 2024

Although substantial research has identified and categorized these risks, a unified framework is needed to be consistent with terminology and clarity. Two taxonomies were developed: the Causal Taxonomy, categorizing risks by responsible entity, intent, and timing, and the Domain Taxonomy, classifying risks into specific domains.

Categorization 69

Categorization AI AI Data Extraction 69

Marktechpost

SEPTEMBER 10, 2024

Previous research on Retrieval-Augmented Generation (RAG) in large language models (LLMs) concentrated on enhancing retrieval models to improve document selection for generation tasks. The paper introduces a novel evaluation framework, NoiserBench, and categorizes noise into beneficial and harmful types.

Large Language Models 64

Large Language Models Categorization LLM AI Research 64

SAS Software

AUGUST 5, 2024

There are different examples in the SAS documentation and in conference papers, but I chose this example because it uses two categorical explanatory variables. This article demonstrates how to use PROC GENMOD to perform a Poisson regression in SAS. Therefore, the Poisson regression can be visualized by using a contingency [.]

Categorization 72

Categorization 72

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 104

Large Language Models Categorization LLM AI 104

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 115

Categorization Machine Learning Data Scientist Natural Language Processing 115

Marktechpost

NOVEMBER 12, 2024

distribution of employee salaries) Bar charts: Compare categorical data (e.g., analyzing news articles to identify trending topics) Text classification: Categorizing text documents into predefined categories (e.g., predicting house prices) Classification: Categorizing data into predefined classes (e.g.,

Data Analysis 104

Data Analysis Data Mining Categorization Machine Learning 104

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 132

Machine Learning Large Language Models Categorization AI 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.

Categorization 113

Categorization Automation AI AI 113

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 173

Categorization Automation 173

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 117

NLP Natural Language Processing Metadata Large Language Models 117

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 115

Automation IDP Generative AI Data Extraction 115

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

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 Research 115

AI Research AI Researcher Large Language Models Natural Language Processing 115

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 188

Convolutional Neural Networks Data Mining Categorization Machine Learning 188

Marktechpost

OCTOBER 5, 2024

Document Summarization and Processing 15. ChatGPT can guide users through each step, clarify required documentation, and answer inquiries related to interest rates, eligibility, or repayment schedules. ChatGPT can assist compliance teams by summarizing regulatory documents, tracking policy changes, and generating compliance reports.

ChatGPT 103

ChatGPT Categorization Artificial Intelligence Artificial Intelligence 103

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 Research 147

AI Research AI Researcher Natural Language Processing Machine Learning 147

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

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

Marktechpost

NOVEMBER 17, 2024

Key Applications of SVM Text Classification SVM is widely used for categorizing text documents, such as spam email detection or topic classification. Understanding Where to Apply the SVM Algorithm Are you unsure where to use the Support Vector Machine (SVM) algorithm?

Algorithm 103

Algorithm Computer Vision Machine Learning Categorization 103

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

OCTOBER 6, 2024

Working with documents of infinite duration, which are typical in contemporary media formats like automated news updates, live-stream e-commerce platforms, and viral short-form movies, makes these problems very clear. The pipeline processes and organises data from long documents or media streams in a successful manner.

Large Language Models 104

Large Language Models LLM Categorization Automation 104

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

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

Marktechpost

JUNE 3, 2024

AI legal research and document drafting tools promise to enhance efficiency and accuracy in performing complex legal tasks. In the legal domain, such errors can have serious implications, given the high stakes involved in legal decisions and documentation. The proposed methodology involved using a RAG system.

Large Language Models 128

Large Language Models Chatbots AI AI 128

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.

Machine Learning 85

Machine Learning Large Language Models Categorization Artificial Intelligence 85

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

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 130

Large Language Models LLM Categorization AI 130