Data Pipeline, K-nearest Neighbors and Natural Language Processing

Search:

DAY

WEEK

MONTH

YEAR

Select your country:
Sign up | Log in

Data Pipeline

K-nearest Neighbors

Natural Language Processing

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning Blog

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

SQL

SQL AWS Analytics Analytics

How Active Learning Can Improve Your Computer Vision Pipeline

DagsHub

DECEMBER 23, 2024

They are: Based on shallow, simple, and interpretable machine learning models like support vector machines (SVMs), decision trees, or k-nearest neighbors (kNN). Relies on explicit decision boundaries or feature representations for sample selection. Works well with small datasets and models with fewer parameters.

Deep Learning

Deep Learning Deep Learning Supervised Learning Clustering

Data Science Current

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

How Active Learning Can Improve Your Computer Vision Pipeline

Stay Connected