Flipboard

NOVEMBER 20, 2024

Knowledge base – You need a knowledge base created in Amazon Bedrock with ingested data and metadata. For detailed instructions on setting up a knowledge base, including data preparation, metadata creation, and step-by-step guidance, refer to Amazon Bedrock Knowledge Bases now supports metadata filtering to improve retrieval accuracy.

AWS 160

AWS Natural Language Processing Machine Learning Machine Learning 160

IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). Massive, in fact.

Big Data 106

Big Data Big Data ML ML 106

Kaggle

JULY 29, 2020

I spent over a decade of my career developing large-scale data pipelines to transform both structured and unstructured data into formats that can be utilized in downstream systems. I also have experience in building large-scale distributed text search and Natural Language Processing (NLP) systems.

ETL 71

ETL Data Scientist Machine Learning Machine Learning 71

Heartbeat

MAY 16, 2023

Sentiment analysis is a common natural language processing (NLP) task that involves determining the sentiment of a given piece of text, such as a tweet, product review, or customer feedback. With the development of the ELECTRA pre-training technique, sentiment analysis can be performed more accurately and efficiently.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

AWS Machine Learning Blog

MARCH 1, 2023

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

Data Lakes 89

Data Lakes AWS ML ML 89

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The recent history of PBAs begins in 1999, when NVIDIA released its first product expressly marketed as a GPU, designed to accelerate computer graphics and image processing. In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN.

AWS 113

AWS ML ML Clustering 113

DagsHub

JULY 15, 2024

Introduction Large Language Models (LLMs) represent the cutting-edge of artificial intelligence, driving advancements in everything from natural language processing to autonomous agentic systems. T5 : T5 stands for Text-to-Text Transfer Transformer, developed by Google in 2020.

Azure 52

Azure AI AI Database 52