Heartbeat

MARCH 22, 2023

Learn NLP data processing operations with NLTK, visualize data with Kangas , build a spam classifier, and track it with Comet Machine Learning Platform Photo by Stephen Phillips — Hostreviews.co.uk on Unsplash At its core, the discipline of Natural Language Processing (NLP) tries to make the human language “palatable” to computers.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Machine Learning 52

Data Science Dojo

JUNE 14, 2023

Most paraphrasing tools that are powered by AI are developed using Python because Python has a lot of prebuilt libraries for NLP ( natural language processing ). NLP is yet another application of machine learning algorithms. The transformer is trained on a large database of text, such a database is called a “corpus”.

Machine Learning 195

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Data Science Dojo

JUNE 14, 2023

Most paraphrasing tools that are powered by AI are developed using Python because Python has a lot of prebuilt libraries for NLP ( natural language processing ). NLP is yet another application of machine learning. The transformer is trained on a large database of text, such a database is called a “corpus”.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Data Science Dojo

JUNE 14, 2023

Most paraphrasing tools that are powered by AI are developed using Python because Python has a lot of prebuilt libraries for NLP ( natural language processing ). NLP is yet another application of machine learning. The transformer is trained on a large database of text, such a database is called a “corpus”.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Flipboard

JUNE 3, 2025

Mani Khanuja is a Principal Generative AI Specialist Solutions Architect, author of the book Applied Machine Learning and High-Performance Computing on AWS, and a member of the Board of Directors for Women in Manufacturing Education Foundation Board. million, representing a 12% growth compared to the previous quarter.

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AWS Machine Learning Blog

JANUARY 31, 2024

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. The example matches a user’s query to the closest entries in an in-memory vector database.

Natural Language Processing 137

Natural Language Processing AWS Machine Learning Machine Learning 137

Dataconomy

NOVEMBER 27, 2023

This includes blog posts, e-books, research papers, and more. It boasts a rich database of video clips and a meticulously trained language model, allowing customization through voice commands and seamless integration with various social media platforms. Signing up or logging into your account.

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Data Science Dojo

APRIL 18, 2024

Imagine a computer program that’s a whiz with words, capable of understanding and using language in fascinating ways. Large language models are powerful AI-powered language tools trained on massive amounts of text data, like books, articles, and even code. That’s essentially what an LLM is!

Database 195

Database Natural Language Processing Predictive Analytics AI 195

AWS Machine Learning Blog

OCTOBER 23, 2024

By automating document ingestion, chunking, and embedding, it eliminates the need to manually set up complex vector databases or custom retrieval systems, significantly reducing development complexity and time. Amazon Connect forwards the user’s message to Amazon Lex for natural language processing.

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AWS Machine Learning Blog

AUGUST 7, 2024

It works by first retrieving relevant responses from a database, then using those responses as context to feed the generative model to produce a final output. For example, retrieving responses from its database before generating a response could provide more relevant and coherent responses. Scott Fitzgerald.

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AWS Machine Learning Machine Learning Database 138

Dataconomy

AUGUST 3, 2023

Automated booking processes : Travel bookings can be automated to reduce errors with expanded, all-in-one transaction chains for connecting flights, seamless transport, sightseeing trips, and accommodation. Now, AI enables them to integrate any number of other factors that might play a role in forecasts.

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AI AI Artificial Intelligence Artificial Intelligence 172

AWS Machine Learning Blog

OCTOBER 29, 2024

The CloudFormation template provisions resources such as Amazon Data Firehose delivery streams, AWS Lambda functions, Amazon S3 buckets, and AWS Glue crawlers and databases. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

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AWS Machine Learning Blog

MARCH 7, 2025

This new capability integrates the power of graph data modeling with advanced natural language processing (NLP). For Vector database , select Quick create a new vector store and then select Amazon Neptune Analytics (GraphRAG). More specifically, the graph created will connect chunks to documents, and entities to chunks.

Analytics 130

Analytics Analytics AWS Natural Language Processing 130

Flipboard

MAY 1, 2025

An agent uses a function call to invoke an external tool (like an API or database) to perform specific actions or retrieve information it doesnt possess internally. You ask the agent to Book a 5-day trip to Europe in January and we like warm weather.

AI 167

AI AI AWS Python 167

Flipboard

APRIL 16, 2025

Solution overview The AI-powered asset inventory labeling solution aims to streamline the process of updating inventory databases by automatically extracting relevant information from asset labels through computer vision and generative AI capabilities. It invokes the API to process the data.

AWS 109

AWS Database AI AI 109

Flipboard

DECEMBER 6, 2023

During the embeddings experiment, the dataset was converted into embeddings, stored in a vector database, and then matched with the embeddings of the question to extract context. The idea was to use the LLM to first generate a SQL statement from the user question, presented to the LLM in natural language.

SQL 168

SQL Database AWS Machine Learning 168

ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. They are designed to understand and generate human-like language by learning from a large dataset of texts, such as books, articles, and websites.

Database 124

Database AI AI Natural Language Processing 124

How to Learn Machine Learning

MAY 2, 2025

Text and NLP : Natural language processing tasks such as sentiment analysis, named entity recognition, and text classification are well-supported. For more awesome content, check our book reviews and courses bellow! The platform integrates with Azure Cognitive Services for pre-built NLP capabilities.

Azure 52

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AWS Machine Learning Blog

MARCH 1, 2024

For RAG-based applications, the accuracy of the generated response from large language models (LLMs) is dependent on the context provided to the model. Context is retrieved from the vector database based on the user query. For example, consider the following query: What is the cost of the book " " on ?

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AWS Machine Learning Machine Learning Database 140

AWS Machine Learning Blog

NOVEMBER 24, 2023

The platform enables you to create managed agents for complex business tasks without the need for coding, such as booking travel, processing insurance claims, creating ad campaigns, and managing inventory. AWS Lambda – AWS Lambda provides serverless compute for processing. This could be any database of your choice.

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AWS Database AI AI 125

Flipboard

OCTOBER 25, 2023

Why it’s challenging to process and manage unstructured data Unstructured data makes up a large proportion of the data in the enterprise that can’t be stored in a traditional relational database management systems (RDBMS). It can analyze text in multiple languages, detect entities, extract key phrases, determine sentiment, and more.

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AWS Machine Learning Blog

APRIL 3, 2024

With Amazon Titan Multimodal Embeddings, you can generate embeddings for your content and store them in a vector database. We use Amazon OpenSearch Serverless as a vector database for storing embeddings generated by the Amazon Titan Multimodal Embeddings model. These steps are completed prior to the user interaction steps.

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K-nearest Neighbors AWS Machine Learning Machine Learning 136

AWS Machine Learning Blog

DECEMBER 18, 2024

This involved creating a variety of text samples covering a wide range of topics and tasks relevant to the Italian language. High-quality Italian web articles, books, and other texts served as the basis for training the LLMs to generate authentic-sounding synthetic content that captured the nuances of the language.

Clustering 103

Clustering AWS AI AI 103

AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific entities or phrases. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

Internally, Amazon Bedrock uses embeddings stored in a vector database to augment user query context at runtime and enable a managed RAG architecture solution. Retrieval Augmented Generation RAG is an approach to natural language generation that incorporates information retrieval into the generation process. Choose Next.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

The key is to choose a solution that can effectively host your database and compute infrastructure. Mani Khanuja is a Tech Lead Generative AI Specialists, author of the book Applied Machine Learning and High-Performance Computing on AWS, and a member of the Board of Directors for Women in Manufacturing Education Foundation Board.

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Mlearning.ai

JUNE 14, 2023

I used this foolproof method of consuming the right information and ended up publishing books , artworks , Podcasts and even an LLM powered consumer facing app ranked #40 on the app store. YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

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AWS Machine Learning Blog

JULY 1, 2024

In this post, we demonstrate how you can build chatbots with QnAIntent that connects to a knowledge base in Amazon Bedrock (powered by Amazon OpenSearch Serverless as a vector database ) and build rich, self-service, conversational experiences for your customers.

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AWS Machine Learning Blog

APRIL 30, 2025

Accor Group , a major hospitality company that developed a generative AI-powered booking application, showcased how, even when working with new technologies like generative AI, fundamental software development principles remain a must-have. See the re:Invent 2024 session for more information.

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AWS AI AI Machine Learning 74

Pickl AI

SEPTEMBER 12, 2024

With over 4 million hosts and more than 1 billion guest arrivals since its inception, the platform collects data from various sources, including user interactions, booking patterns, and customer feedback. They can include databases, flat files, APIs, and live data streams.

Big Data 52

Big Data Big Data Machine Learning Machine Learning 52

O'Reilly Media

OCTOBER 11, 2022

It’s possible to augment this basic process with OCR so the application can find data on paper forms, or to use natural language processing to gather information through a chat server. But the core of the process is simple, and hasn’t changed much since the early days of web testing. That’s the bad news.

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AI AI Natural Language Processing Database 141

phData

SEPTEMBER 11, 2024

Booked: Date the stay was booked. They are particularly important for generative AI (GenAI) tasks such as natural language processing, question answering, and content generation. However, tools utilizing natural language processing might have difficulty determining what some columns refer to without a little help.

SQL 52

SQL Natural Language Processing Database Data Analysis 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs). md) HyperText Markup Language (.html)

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AWS Machine Learning Blog

AUGUST 14, 2023

The final retrieval augmentation workflow covers the following high-level steps: The user query is used for a retriever component, which does a vector search, to retrieve the most relevant context from our database. A vector database provides efficient vector similarity search by providing specialized indexes like k-NN indexes.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

You marked your calendars, you booked your hotel, and you even purchased the airfare. Embeddings can be stored in a database and are used to enable streamlined and more accurate searches. Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! You must bring your laptop to participate. We’ll see you there!

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AWS Machine Learning Blog

FEBRUARY 25, 2025

It also includes requests for text translation, summarization, or explicit inquiries about the meaning of words or sentences in a specific language. Document_Translation class This class is characterized by requests for the translation of a document to a specific language.

Algorithm 85

Algorithm Machine Learning Machine Learning K-nearest Neighbors 85

IBM Journey to AI blog

AUGUST 3, 2023

Using techniques that include artificial intelligence (AI) , machine learning (ML) , natural language processing (NLP) and network analytics, it generates a master inventory of sensitive data down to the PII or data-element level.

Azure 71

Azure Database Analytics Analytics 71