Towards AI

AUGUST 25, 2023

In ML, there are a variety of algorithms that can help solve problems. There is often confusion between the terms artificial intelligence and machine learning, which is discussed in The AI Process. There is often confusion between the terms artificial intelligence and machine learning, which is discussed in The AI Process.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. Task Prompt (template in bold) Model output Summarization Briefly summarize this paragraph: Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents.

Natural Language Processing 97

Natural Language Processing Machine Learning Machine Learning Algorithm 97

AWS Machine Learning Blog

NOVEMBER 9, 2023

This retrieval can happen using different algorithms. Her research interests lie in Natural Language Processing, AI4Code and generative AI. His research interests lie in the area of AI4Code and Natural Language Processing. He received his PhD in Computer Science from Purdue University in 2008.

AWS 111

AWS Natural Language Processing K-nearest Neighbors Computer Science 111

AWS Machine Learning Blog

JANUARY 13, 2023

Because ML algorithms are often not adequate in protecting the privacy of patient-level data, there is a growing interest among HCLS partners and customers to use privacy-preserving mechanisms and infrastructure for managing and analyzing large-scale, distributed, and sensitive data. [1].

AWS 96

AWS Analytics Analytics Machine Learning 96

DataRobot

AUGUST 3, 2021

Natural language processing used to be a dirty word because it didn’t really work. Then we have algorithms, and algorithms are tools for resolving disputes. That is what led Joshua to found Lex Machina in 2008. That’s something we can grapple with, and that doesn’t terrify people. Is this a cat or a dog?’

Natural Language Processing 52

Natural Language Processing Computer Science Computer Science Algorithm 52

AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

ML 85

ML ML Deep Learning Deep Learning 85

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Parallel computing uses these multiple processing elements simultaneously to solve a problem. This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. It also means not all workloads are equally suitable for acceleration.

AWS 103

AWS ML ML Clustering 103