AWS Machine Learning Blog

SEPTEMBER 8, 2023

You also generate an embedding of this newly written article, so that you can search OpenSearch Service for the nearest images to the article in this vector space. Using the k-nearest neighbors (k-NN) algorithm, you define how many images to return in your results. For this example, we use cosine similarity.

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K-nearest Neighbors AWS ML ML 103

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 K-nearest Neighbors Clustering 52

IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. What is machine learning?

Machine Learning 85

Machine Learning Machine Learning Supervised Learning Clustering 85

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. However, it highlights the throughput and latency improvements as the main performance advantages of the Inf2 instances over comparable instances for running generative AI models.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

Generative AI models for coding companions are mostly trained on publicly available source code and natural language text. Formally, often k-nearest neighbors (KNN) or approximate nearest neighbor (ANN) search is often used to find other snippets with similar semantics.

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AWS Natural Language Processing K-nearest Neighbors AI 88

AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

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SQL AWS Database Analytics 108

AWS Machine Learning Blog

JANUARY 6, 2023

For more information about the natural language understanding-powered search functionalities of OpenSearch Service, refer to Building an NLU-powered search application with Amazon SageMaker and the Amazon OpenSearch Service KNN feature. Solution overview. Matthew Rhodes is a Data Scientist I working in the Amazon ML Solutions Lab.

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AWS ML ML Machine Learning 88

Mlearning.ai

JUNE 6, 2023

AI learns to play Flappy Bird Game So, in this blog, we will implement the Flappy Bird Game which will be played by an AI. AI learns to play Flappy Bird Game - Python Project 37. Natural Language Processing Projects with source code in Python 69. In this blog, we will see how we can do that.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

Google Research AI blog

NOVEMBER 28, 2022

Sara Mahdavi , Rapha Gontijo Lopes , Tim Salimans , Jonathan Ho , David J Fleet , Mohammad Norouzi EXPO Day Workshops Graph Neural Networks in Tensorflow: A Practical Guide Workshop Organizers include: Bryan Perozzi , Sami Abu-el-Haija A Hands-On Introduction to Tensorflow and Jax Workshop Organizers include: Josh Gordon Affinity Workshops LatinX in (..)

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Machine Learning Machine Learning Clustering Algorithm 52