AWS Machine Learning Blog

OCTOBER 5, 2023

For more resources on using Trainium for distributed pre-training and fine-tuning your generative AI models using NeMo Megatron, refer to AWS Neuron Reference for NeMo Megatron. He is passionate about applying machine learning, optimization, and generative AI techniques to various real-world problems. Youngsuk Park is a Sr.

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AWS Machine Learning Blog

AUGUST 11, 2023

Natural language processing (NLP) is the field in machine learning (ML) concerned with giving computers the ability to understand text and spoken words in the same way as human beings can. For this solution, we use the 2015 New Year’s Resolutions dataset to classify resolutions.

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Google Research AI blog

MARCH 7, 2023

books, magazines, newspapers, forms, street signs, restaurant menus) so that they can be indexed, searched, translated, and further processed by state-of-the-art natural language processing techniques. words per image on average, which is more than 3x the density of TextOCR and 25x more dense than ICDAR-2015.

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IBM Journey to AI blog

NOVEMBER 13, 2023

Kubernetes’s declarative, API -driven infrastructure has helped free up DevOps and other teams from manually driven processes so they can work more independently and efficiently to achieve their goals. And Kubernetes can scale ML workloads up or down to meet user demands, adjust resource usage and control costs.

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Dataconomy

AUGUST 31, 2023

Artificial intelligence (AI) is one of the most frequently discussed topics nowadays. Will AI technologies replace humans? How can we preserve the much-needed human touch while leveraging AI? There are many more questions to answer, and we are still to decide how to use AI properly. But the real progress happened in 2015.

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NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. Additionally, the goals of companies like OpenAI are not necessarily the same goals as researchers.

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Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy.

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Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. This impressive group of experts is united in their passion for pushing the boundaries of technology and democratizing access to the power of AI.

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Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. This impressive group of experts is united in their passion for pushing the boundaries of technology and democratizing access to the power of AI.

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Pickl AI

OCTOBER 1, 2024

Summary: Generative AI is transforming industries with innovative applications across healthcare, marketing, and creative arts. Introduction Generative Artificial Intelligence (AI) has emerged as one of the most transformative technologies of our time. Fast forward to today, and Generative AI is everywhere.

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PyImageSearch

JANUARY 30, 2023

Even though Artificial Intelligence (AI) is likely to replace millions of workers, it has great potential to enable them to keep up with changing technologies and remain valuable to the country. Further, AI can generate bit-size learning via low-storage study materials and other lessons in digital format.

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DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Choosing the best deep learning platform is essential for AI and machine learning initiatives to be as efficient and productive as possible.

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Chatbots Life

MARCH 17, 2023

As pioneers in adopting ChatGPT technology in Malaysia, XIMNET dives in to take a look how far back does Conversational AI go? Photo by Milad Fakurian on Unsplash Conversational AI has been around for some time, and one of the noteworthy early breakthroughs was when ELIZA , the first chatbot, was constructed in 1966.

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Chatbots Life

MAY 12, 2023

How ChatGPT really works and will it change the field of IT and AI? — a As we can read in the article, the only difference between InstructGPT and ChatGPT is the fact that the annotators played both the user and AI assistant. The hypothesis as to why such training was particularly effective is explained in the next section.

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IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022.

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ML Review

FEBRUARY 26, 2018

The most significant innovation in AI these recent years, smart chatbots, personal assistants, are only a glimpse of what the future holds. Launched in July 2015, AliMe is an IHCI-based shopping guide and assistant for e-commerce that overhauls traditional services, and improves the online user experience.

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Pickl AI

AUGUST 22, 2024

Introduction Deep Learning frameworks are crucial in developing sophisticated AI models, and driving industry innovations. Overview of PyTorch PyTorch , developed by Facebook’s AI Research lab, has emerged as a leading Deep Learning framework. Read More: Unlocking Deep Learning’s Potential with Multi-Task Learning.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

Use natural language processing (NLP) in Amazon HealthLake to extract non-sensitive data from unstructured blobs. The high-level steps involved in the solution are as follows: Use AWS Step Functions to orchestrate the health data anonymization pipeline. Perform one-hot encoding with Amazon SageMaker Data Wrangler.

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AWS Machine Learning Blog

APRIL 25, 2024

The transformative power of advanced summarization capabilities will only continue growing as more industries adopt artificial intelligence (AI) to harness overflowing information streams. This approach requires a deeper understanding of the text, because the AI needs to interpret the meaning and then express it in a new, concise form.

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Snorkel AI

MARCH 15, 2023

Jay Alammar, director and engineering fellow at Cohere, presented a talk entitled “Generative AI is… what, exactly?” at Snorkel AI’s recent Foundation Model Virtual Summit. Let’s start by defining a little bit of what we mean when we say, “Generative AI.” Recently, AI systems have been able to generate interesting things.

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Snorkel AI

MARCH 15, 2023

Jay Alammar, director and engineering fellow at Cohere, presented a talk entitled “Generative AI is… what, exactly?” at Snorkel AI’s recent Foundation Model Virtual Summit. Let’s start by defining a little bit of what we mean when we say, “Generative AI.” Recently, AI systems have been able to generate interesting things.

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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.

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ML Review

JUNE 4, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Source : Johnson et al. using Faster-RCNN[ 82 ].

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ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading!

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Explosion

DECEMBER 28, 2019

Jan 15: The year started out with us as guests on the NLP Highlights podcast , hosted by Matt Gardner and Waleed Ammar of Allen AI. Jan 16: Ines followed that up with an appearance on German documentary “Frag deinen Kühlschrank” (literally “ask your refrigerator”) for Bayerischer Rundfunk on German TV about AI technologies.

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Snorkel AI

FEBRUARY 13, 2023

Jan Neuman, Comcast Applied AI and Discovery Vice President of Machine Learning, on YouTube. Jan Neumann, Vice President, Machine Learning, Comcast Applied AI and Discovery gave a presentation entitled “Data-Centric AI in Comcast’s Voice and Conversational Interfaces” at Snorkels Future of Data-Centric AI conference in 2022.

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Snorkel AI

FEBRUARY 13, 2023

Jan Neuman, Comcast Applied AI and Discovery Vice President of Machine Learning, on YouTube. Jan Neumann, Vice President, Machine Learning, Comcast Applied AI and Discovery gave a presentation entitled “Data-Centric AI in Comcast’s Voice and Conversational Interfaces” at Snorkels Future of Data-Centric AI conference in 2022.

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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.

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Snorkel AI

MARCH 8, 2023

Amanpreet Singh, Lead Researcher at Hugging Face gave a presentation entitled Towards Unified Foundation Models for Vision and Language Alignment a Snorkel AI’s Foundation Model Summit in January. Today, we are going to talk about foundation models for vision and language alignment. Very close to human accuracy.

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Snorkel AI

MARCH 8, 2023

Amanpreet Singh, Lead Researcher at Hugging Face gave a presentation entitled Towards Unified Foundation Models for Vision and Language Alignment a Snorkel AI’s Foundation Model Summit in January. Today, we are going to talk about foundation models for vision and language alignment. Very close to human accuracy.

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Dataconomy

APRIL 18, 2023

He called it TruthGPT, and it is an AI platform that is meant to compete with products from Microsoft and Google. Musk saw TruthGPT as a way to change the direction of OpenAI, the AI software nonprofit he helped start and which now has a for-profit branch. You can watch the full interview below.

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DrivenData Labs

FEBRUARY 3, 2025

His research focuses on applying natural language processing techniques to extract information from unstructured clinical and medical texts, especially in low-resource settings. I love participating in various competitions involving deep learning, especially tasks involving natural language processing or LLMs.

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Dataconomy

APRIL 8, 2025

Established by visionary leaders dedicated to ensuring AI’s safe development, OpenAI remains committed to advancing machine learning while addressing ethical considerations. Key historical events The journey of OpenAI is marked by significant milestones that reflect its dedication to AI development. 2015: Founding of OpenAI.

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Dataconomy

MARCH 19, 2025

They are essential for processing large amounts of data efficiently, particularly in deep learning applications. What are Tensor Processing Units (TPUs)? History of Tensor Processing Units The inception of TPUs can be traced back to 2015 when Google developed them for internal machine learning projects.

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Dataconomy

APRIL 22, 2025

As a powerful AI chatbot developed by OpenAI, ChatGPT employs advanced natural language processing techniques to understand and respond to a variety of inquiries. ChatGPT is an AI-driven chatbot created by OpenAI that uses natural language processing (NLP) to enable seamless conversations with users.

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ODSC - Open Data Science

MARCH 10, 2025

Analyzing nearly a decades worth of conference sessions from 2015 to 2024 reveals fascinating shifts in focus areas, popular frameworks, and emerging trends that have shaped thefield. Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI.

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AWS Machine Learning Blog

JUNE 3, 2025

As organizations worldwide seek to use AI for social impact, the Danish humanitarian organization Bevar Ukraine has developed a comprehensive virtual generative AI-powered assistant called Victor, aimed at addressing the pressing needs of Ukrainian refugees integrating into Danish society.

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