Unite.AI

SEPTEMBER 18, 2023

Blockchain technology can be categorized primarily on the basis of the level of accessibility and control they offer, with Public, Private, and Federated being the three main types of blockchain technologies.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

TensorFlow

MAY 2, 2023

Because these neural network-based retrieval models take advantage of metadata, context, and feature interactions, they can produce highly informative embeddings and offer flexibility to adjust for various business objectives. a set of tracks, metadata, etc.) See turning categorical features into embeddings for more details.

Neural Network 52

Neural Network AI AI Metadata 52

Flipboard

OCTOBER 25, 2023

Understanding the data, categorizing it, storing it, and extracting insights from it can be challenging. Solution overview Data and metadata discovery is one of the primary requirements in data analytics, where data consumers explore what data is available and in what format, and then consume or query it for analysis.

ML 132

ML Metadata AI AI 132

AWS Machine Learning Blog

NOVEMBER 15, 2023

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics.

Data Ingestion 111

Data Ingestion Metadata NLP Data Scientist 111

The MLOps Blog

FEBRUARY 22, 2024

Methods for continual learning can be categorized as regularization-based, architectural, and memory-based, each with specific advantages and drawbacks. This approach is widespread in NLP, where one model might learn to perform text classification, named entity recognition, and text summarization.

Continuous Learning 59

Continuous Learning Machine Learning ML Neural Network 59

John Snow Labs

MAY 24, 2023

Therefore, the data needs to be properly labeled/categorized for a particular use case. Top Text Annotation Tools for NLP Each annotation tool has a specific purpose and functionality. NLP Lab is a Free End-to-End No-Code AI platform for document labeling and AI/ML model training. Prodigy offers the support in the paid version.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Auto-classification 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Operationalization journey per generative AI user type To simplify the description of the processes, we need to categorize the main generative AI user types, as shown in the following figure. They have deep end-to-end ML and natural language processing (NLP) expertise and data science skills, and massive data labeler and editor teams.

Generative AI 103

Generative AI Prompt Engineer Prompt Engineering AI 103

John Snow Labs

JUNE 2, 2023

Sentiment analysis, also known as opinion mining, is the process of computationally identifying and categorizing the subjective information contained in natural language text. Spark NLP has multiple approaches for detecting the sentiment (which is actually a text classification problem) in a text.

Deep Learning 98

Deep Learning NLP Convolutional Neural Networks Neural Network 98

AWS Machine Learning Blog

MAY 7, 2024

Whether you’re looking to classify documents, extract keywords, detect and redact personally identifiable information (PIIs), or parse semantic relationships, you can start ideating your use case and use LLMs for your natural language processing (NLP). Intents are categorized into two levels: main intent and sub intent.

Prompt Engineer 95

Prompt Engineer Prompt Engineering Large Language Models LLM 95

Sebastian Ruder

NOVEMBER 14, 2022

At the same time, a wave of NLP startups has started to put this technology to practical use. I will be focusing on topics related to natural language processing (NLP) and African languages as these are the domains I am most familiar with. This post takes a closer look at how the AI community is faring in this endeavour.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52

AWS Machine Learning Blog

OCTOBER 24, 2023

Amazon Comprehend is a natural language processing (NLP) service that uses ML to extract insights from text. When a new document type introduced in the IDP pipeline needs classification, the LLM can process text and categorize the document given a set of classes. You can also fine-tune them for specific document classes.

IDP 113

IDP LLM Prompt Engineer Prompt Engineering 113

Unite.AI

AUGUST 4, 2023

It enables an array of NLP applications such as virtual assistants, content generators, question-answering systems, and more, to solve a range of real-world problems. LangChain categorizes its chains into three types: Utility chains, Generic chains, and Combine Documents chains.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

AWS Machine Learning Blog

JUNE 7, 2023

title.text table_title 'The following table summarizes, by major security type, our cash, cash equivalents, restricted cash, and marketable securities that are measured at fair value on a recurring basis and are categorized using the fair value hierarchy (in millions):' Similarly, we can use the following code to extract the footers of the table.

Machine Learning 70

Machine Learning Data Analysis ML Natural Language Processing 70

Artificial Corner

JUNE 6, 2023

These techniques can be applied to a wide range of data types, including numerical data, categorical data, text data, and more. NoSQL databases are often categorized into different types based on their data models and structures. It runs on top of your existing data lake and is fully compatible with Apache Spark APIs.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52