AWS Machine Learning Blog

APRIL 5, 2023

He has been working on several AI/ML projects related to computer vision, natural language processing, personalization, ML at the edge, and more. He helps customers creating AI/ML solutions which solve their business challenges using AWS.

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ML ML AWS Python 77

AWS Machine Learning Blog

MARCH 12, 2024

t “enclave_base” Save the LLM in the EC2 Instance We are using the open-source Bloom 560m LLM for natural language processing to generate responses. This model is not fine-tuned to PII and PHI, but demonstrates how an LLM can live inside of an enclave. app and run it inside the Cloud9 environment.

AWS 89

AWS Natural Language Processing Machine Learning Machine Learning 89

Explosion

SEPTEMBER 3, 2015

Natural Language Processing moves fast, so maintaining a good library means constantly throwing things away. But most Natural Language Processing libraries do, and it’s terrible. Natural Language Processing (NLP) research moves very quickly. The new models supercede the old ones.

Natural Language Processing 40

Natural Language Processing Python Deep Learning Deep Learning 40

Towards AI

FEBRUARY 10, 2023

Building natural language processing and computer vision models that run on the computational infrastructures of Amazon Web Services or Microsoft’s Azure is energy-intensive. The Myth of Clean Tech: Cloud Data Centers The data center has been a critical component of improvements in computing.

AI 87

AI AI Natural Language Processing Artificial Intelligence 87

Mlearning.ai

MARCH 9, 2023

2012; Otsu, 1979; Long et al., 2019) or by using input pre-processing techniques to remove adversarial perturbations (Xie et al., Methodology In this study, we used the publicly available PASCAL VOC 2012 dataset (Everingham et al., Generative adversarial networks-based adversarial training for natural language processing.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

AWS Machine Learning Blog

APRIL 23, 2024

He previously worked in the semiconductor industry developing large computer vision (CV) and natural language processing (NLP) models to improve semiconductor processes using state of the art ML techniques. He focuses on helping customers build, train, deploy and migrate machine learning (ML) workloads to SageMaker.

ML 96

ML ML AWS Python 96

Snorkel AI

APRIL 25, 2023

This plot, which is effectively looking from 2012 to 2021, is showing that we have invested a huge amount of effort in improving the models in the ML context. You can imagine something like image classification, natural language processing is something for speech processing, and so forth. Where do you apply them?

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

APRIL 25, 2023

This plot, which is effectively looking from 2012 to 2021, is showing that we have invested a huge amount of effort in improving the models in the ML context. You can imagine something like image classification, natural language processing is something for speech processing, and so forth. Where do you apply them?

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

MAY 12, 2023

He specializes in Natural Language Processing (NLP), Large Language Models (LLM) and Machine Learning infrastructure and operations projects (MLOps). To use the CodeWhisperer extension, ensure that you have the necessary permissions.

AWS 80

AWS Machine Learning Machine Learning ML 80

AWS Machine Learning Blog

APRIL 16, 2024

The advancement of LLMs has significantly impacted natural language processing (NLP)-based SQL generation, allowing for the creation of precise SQL queries from natural language descriptions—a technique referred to as Text-to-SQL. or later image versions. In his free time, he enjoys playing chess and traveling.

SQL 89

SQL AWS Database Data Scientist 89

Flipboard

FEBRUARY 5, 2023

When Duolingo was launched in 2012 by Luis von Ahn and Severin Hacker out of a Carnegie Mellon University research project, the goal was to make an easy-to-use online language tutor that could approximate that supercharging effect. That’s enough to raise a person’s test scores from the 50th percentile to the 98th.

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AI AI Machine Learning Machine Learning 182

IBM Journey to AI blog

OCTOBER 12, 2023

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Human intervention was required to expand Siri’s knowledge base and functionality.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 73

Applied Data Science

MARCH 11, 2022

Back in 2012 things were quite different. Language as a game: the field of Emergent Communication Firstly, what is language? Language is an abundant resource: petabytes of human-produced data on the internet have been put to use to train huge language models such as GPT-3 and Google BERT. This cat does not exist.

AI 130

AI AI Data Science Machine Learning 130

Explosion

DECEMBER 28, 2019

Among other things, Ines discussed fast.ai ’s new course on Natural Language Processing and using Polyaxon for model training and experiment management. ? Adriane is a computational linguist who has been engaged in research since 2005, completing her PhD in 2012.

Machine Learning 52

Machine Learning Machine Learning Python Natural Language Processing 52

AWS Machine Learning Blog

DECEMBER 14, 2023

He previously worked in the semiconductor industry developing large computer vision (CV) and natural language processing (NLP) models to improve semiconductor processes using state of the art ML techniques. He focuses on helping customers build, train, deploy and migrate machine learning (ML) workloads to SageMaker.

ML 98

ML ML AI AI 98

Explosion

FEBRUARY 18, 2015

spaCy is a new library for text processing in Python and Cython. I wrote it because I think small companies are terrible at natural language processing (NLP). The pre-processing was not subtracted from the times — I report the time required for the pipeline to complete.

Clustering 52

Clustering Natural Language Processing Machine Learning Machine Learning 52

AWS Machine Learning Blog

JUNE 6, 2023

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural language processing, content creation, and more. With the recent PyTorch 2.0 release, AWS customers can now do same things as they could with PyTorch 1.x

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AWS ML ML Deep Learning 70

Explosion

DECEMBER 17, 2013

Natural languages introduce many unexpected ambiguities, which our world-knowledge immediately filters out. The performance of our parser is made possible by an advance by Goldberg and Nivre (2012), who showed that we’d been doing this wrong for years. Dynamic programming algorithms for transition-based dependency parsers.

Python 45

Python Algorithm Natural Language Processing 45