Defined.ai blog

AUGUST 22, 2022

Haizhou Li and his team did an incredible job pulling off not just one but three ICASSPs this year: a remote conference; a hybrid conference; and the first on-site edition in over two years. At the end of last May, the Defined.ai Singapore, The Cultural Crossroads of SE Asia Singapore is a place that does not disappoint!

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AWS Machine Learning Blog

DECEMBER 12, 2023

The pricing of trn1.32xl is based on the 3-year reserved effective per hour rate. Several recent models such as NeoX , Falcon , Llama use the GPT architecture as a backbone. Training LLMs requires colossal amount of compute time, which costs millions of dollars. We’ll outline how we cost-effectively (3.2 billion in Pythia. 2048 256 10.4

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AWS Machine Learning Blog

MARCH 31, 2023

Also, the introduction of federal REAL ID requirements in 2019 resulted in increased call volumes from drivers with questions. When there are more calls than agents can answer, callers get placed on hold with a message such as the following: “We are experiencing higher than usual call volumes.

Automation 77

Automation Natural Language Processing Conversational AI NLP 77

AWS Machine Learning Blog

FEBRUARY 19, 2024

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Their popularity stems from the ability to respond to customer inquiries in real time and handle multiple queries simultaneously in different languages. Embeddings are created for documents and user questions.

Chatbots 99

Chatbots Data Ingestion Machine Learning Generative AI 99

Heartbeat

SEPTEMBER 13, 2023

By enhancing the interpretability of these systems, explainability aims to achieve the following goals: Transparency and Trust: A recurring question over the years is how to establish transparency and trust in the results of AI systems. This guide will buttress explainability in machine learning and AI systems. What is Explainability?

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Explainability Machine Learning Deep Learning Explainable AI 52

PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. It is estimated that over $140 billion is required annually to meet the health-related sustainable development goal objectives. These investments range from digital diagnosis to clinician decision support to precision medicine.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Heartbeat

DECEMBER 14, 2023

Empowering Conversational AI with Contextual Recall Photo by Fredy Jacob on Unsplash Memory in Agents Memory in Agents is an important feature that allows them to retain information from previous interactions and use it to provide more accurate and context-aware responses. Construct the LLMChain with the Memory object. Let’s code!

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52

Towards AI

JULY 21, 2023

declassified Blast from the past: Check out this old (2017) blog post from Google introducing transformer models. Wild to see how much progress that’s been made in the field of NLP in the last couple of years. ? Hope you enjoyed your week! We have another update that came in this Friday. Added another 11 datasets and 5 new notebooks.

NLP 89

NLP Natural Language Processing Machine Learning ML 89

Explosion

DECEMBER 14, 2021

Read about the journey of developing Healthsea, an end-to-end spaCy pipeline for analyzing user reviews to supplementary products and extracting their potential effects on health. ? In this blog post, I’ll take you on the journey of training different NLP models, creating custom components and assembling them into a spaCy v3 pipeline!

NLP 52

NLP Machine Learning Natural Language Processing Computer Vision 52

Towards AI

JULY 19, 2023

link] Blast from the past: Check out this old (2017) blog post from Google introducing transformer models. Wild to see how much progress that’s been made in the field of NLP in the last couple of years. ? Hope you enjoyed your week! We have another update that came in this Friday. Added another 11 datasets and 5 new notebooks.

NLP 40

NLP Natural Language Processing Machine Learning ML 40

Sebastian Ruder

JANUARY 19, 2021

2019 ) and work that focuses on making them smaller has gained momentum: Recent approaches rely on pruning ( Sajjad et al., 2019 ; Sun et al., 2019 ) and work that focuses on making them smaller has gained momentum: Recent approaches rely on pruning ( Sajjad et al., 2019 ; Sun et al., 2020 ; Fan et al., 2020 ; Fan et al.,

NLP 52

NLP ML Computer Vision Natural Language Processing 52

O'Reilly Media

JULY 25, 2023

Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. For instance, if I’m reading a paper from 2019, a popular song from that year could start playing.

ChatGPT 98

ChatGPT UX Design AI Tools Metadata 98

Heartbeat

JANUARY 23, 2023

2019) set out to determine how well an NLP model could determine whether or not a given sentence adhered to linguistic norms. Sentences from reviews of movies will be used in this job, along with human opinion of positive and negative sentiment. STS-B : The Semantic Textual Similarity Benchmark dataset. Alex Warstadt et al.

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Machine Learning 52

Explosion

NOVEMBER 21, 2019

Try the new interactive demo to explore similarities and compare them between 2015 and 2019 sense2vec (Trask et. First, we trained a new sense2vec model on the 2019 Reddit comments , which makes for an interesting contrast to the previous 2015 vectors. In 2019, it’s mostly used in the context of cutting off communication by “ghosting”.

NLP 52

NLP Convolutional Neural Networks Neural Network Natural Language Processing 52

DataRobot Blog

OCTOBER 11, 2022

Lastly, for modeling purposes, I leveraged about 1140 races across 2019-2021. Are you new to Formula 1? Want to learn how AI/ML can be so effective in this space? Let’s begin! F1 is one of the most popular sports in the world and is also the highest class of international racing for open-wheeled single-seater formula racing cars.

ML 52

ML Machine Learning Algorithm Automation 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. In this post, we deep dive into the technical details of this ML model.

Computer Vision 66

Computer Vision Machine Learning ML Convolutional Neural Networks 66

Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series.

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The MLOps Blog

AUGUST 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Stefan: Yeah. Thanks for having me.

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ML Data Scientist Software Engineer Machine Learning 52

ML Review

FEBRUARY 11, 2019

Part 1 (2019). Library evolved drastically over the last 1 year. If you want to apply for Part 2 (2019) as a diversity fellow or sponsor here is the link. blog post , part 1 (2019) course videos , and many other blog posts floating around the internet. In short it’s a binary classification problem.

Neural Network 52

Neural Network NLP Explainability Convolutional Neural Networks 52

AWS Machine Learning Blog

DECEMBER 29, 2022

The millions of mortgage applications and hundreds of millions of W2 tax forms processed each year are just a few examples of such documents. This is why we launched Amazon Textract in 2019 to help you automate your tedious document processing workflows powered by AI. Analyze Lending to accelerate loan document processing.

Automation 87

Automation Computer Vision ML Machine Learning 87

Snorkel AI

MARCH 1, 2023

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. What are they and how will they impact your business? Find out in the guide below. Table of contents What are foundation models? But adapting and deploying them for enterprise use cases can pose challenges.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Sebastian Ruder

MAY 22, 2020

Write a blog. 2019 ), and many others. This advice should be most relevant to people studying machine learning (ML) and natural language processing (NLP) as that is what I did in my PhD. Having said that, this advice is not just limited to PhD students. Pick and choose.  Everyone  Everyone is different. TL;DR: Read broadly.

Natural Language Processing 52

Natural Language Processing NLP ML Deep Learning 52

AWS Machine Learning Blog

JUNE 13, 2023

The size of the machine learning (ML) models––large language models ( LLMs ) and foundation models ( FMs )–– is growing fast year-over-year , and these models need faster and more powerful accelerators, especially for generative AI. With AWS Inferentia1, customers saw up to 2.3x With AWS Inferentia1, customers saw up to 2.3x

Large Language Models 72

Large Language Models Deep Learning ML BERT 72

AI Impacts

OCTOBER 20, 2023

2 The Nuclear Regulatory Commission had only been created 3 years earlier. 5 Regulation on nuclear power probably did slow US economic growth over the next 45 years compared to the counterfactual. 6 But the past 45 years have hardly been catastrophic. This is a plausible future for AI. 1 This would probably be very surprising.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Through our long-standing collaboration with NVIDIA, AWS was the first to bring GPUs to the cloud more than 12 years ago, and most recently we were the first major cloud provider to make NVIDIA H100 GPUs available with our P5 instances. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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NLP People

JULY 24, 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. We took the opportunity to review major research trends in the animated NLP space and formulate some implications from the business perspective. But what is the substance behind the buzz? The same goes for data.

NLP 52

NLP Neural Network Deep Learning Natural Language Processing 52

AssemblyAI

AUGUST 22, 2023

While this seems like an abrupt development, LLMs were actually capable as general-purpose agents several years before the release of ChatGPT. The same pretrained model can be finetuned for different downstream tasks One year later in 2019, the GPT-2 paper was released. We’ll explore these questions, and more, below.

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LLM ChatGPT AI Modeling Chatbots 242

ML Review

MAY 3, 2018

Introduction In this series of pieces we decided to examine the interplay between Computer Vision (CV) and Natural Language Processing (NLP) — a fitting segue from the previous CV-centric piece: “ A Year in Computer Vision ” (available here ) [1]. Thanks for reading! An experience that weighs learning heavily.

Neural Network 52

Neural Network Computer Vision Deep Learning Convolutional Neural Networks 52

AI Impacts

MAY 14, 2024

This is the second in a sequence of four posts taken from my recent report: Why Did Environmentalism Become Partisan? Many of the specific claims made here are investigated in the full report. Introduction Environmentalism in the United States today is unusually partisan, compared to other issues, countries, or even the United States in the 1980s.

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AI Impacts

DECEMBER 13, 2023

1 Here is the concern as I understand it: Suppose a policy were put in place tomorrow that banned all progress in AI capabilities anywhere in the world for the next five years. Hardware Overhang for AI One major concern about pausing AI development, from a purely safety perspective, is the possibility of hardware overhang.

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