AWS Machine Learning Blog

APRIL 3, 2024

We detail the steps to use an Amazon Titan Multimodal Embeddings model to encode images and text into embeddings, ingest embeddings into an OpenSearch Service index, and query the index using the OpenSearch Service k-nearest neighbors (k-NN) functionality.

K-nearest Neighbors 117

K-nearest Neighbors AWS Machine Learning Machine Learning 117

Towards AI

FEBRUARY 19, 2025

These vectors are typically generated by machine learning models and enable fast similarity searches that power AI-driven applications like recommendation engines, image recognition, and natural language processing. How is it Different from Traditional Databases?

Database 70

Database K-nearest Neighbors Machine Learning Machine Learning 70

AWS Machine Learning Blog

NOVEMBER 9, 2023

Formally, often k-nearest neighbors (KNN) or approximate nearest neighbor (ANN) search is often used to find other snippets with similar semantics. Her research interests lie in Natural Language Processing, AI4Code and generative AI. Semantic retrieval BM25 focuses on lexical matching.

AWS 98

AWS Natural Language Processing K-nearest Neighbors Computer Science 98

Pickl AI

JULY 17, 2023

Machine Learning is a subset of artificial intelligence (AI) that focuses on developing models and algorithms that train the machine to think and work like a human. It aims to partition a given dataset into K clusters, where each data point belongs to the cluster with the nearest mean.

Machine Learning 52

Machine Learning Machine Learning Clustering K-nearest Neighbors 52

AWS Machine Learning Blog

APRIL 19, 2024

We perform a k-nearest neighbor (k-NN) search to retrieve the most relevant embeddings matching the user query. The summary describes an image related to the progression of natural language processing and generative AI technologies, but it does not mention anything about particle physics or the concept of quarks.

AWS 119

AWS ML ML Database 119

AWS Machine Learning Blog

FEBRUARY 25, 2025

Model invocation We use Anthropics Claude 3 Sonnet model for the natural language processing task. This LLM model has a context window of 200,000 tokens, enabling it to manage different languages and retrieve highly accurate answers. temperature This parameter controls the randomness of the language models output.

Algorithm 69

Algorithm Machine Learning Machine Learning K-nearest Neighbors 69

Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). K-Nearest Neighbou r: The k-Nearest Neighbor algorithm has a simple concept behind it. Foundations of Statistical Natural Language Processing [M]. Uysal and Gunal, 2014). Dönicke, T.,

Cross Validation 52

Cross Validation Algorithm Decision Trees Natural Language Processing 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

We design a K-Nearest Neighbors (KNN) classifier to automatically identify these plays and send them for expert review. He is broadly interested in Deep Learning and Natural Language Processing. Some plays are mixed into other coverage types, as shown in the following figure (right). He obtained his Ph.D.

ML 74

ML ML Machine Learning Machine Learning 74

Pickl AI

SEPTEMBER 12, 2024

Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. K K-Means Clustering: An unsupervised learning algorithm that partitions data into K distinct clusters based on feature similarity.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 18, 2024

Basics of Machine Learning Machine Learning is a subset of Artificial Intelligence (AI) that allows systems to learn from data, improve from experience, and make predictions or decisions without being explicitly programmed. K-Nearest Neighbors), while others can handle large datasets efficiently (e.g.,

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Mlearning.ai

JUNE 6, 2023

How to perform Face Recognition using KNN In this blog, we will see how we can perform Face Recognition using KNN (K-Nearest Neighbors Algorithm) and Haar cascades. Natural Language Processing Projects with source code in Python 69. Its accuracy is slightly less compared to these big boys like MTCNNs.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52