Hacker News

MARCH 25, 2022

If you want to ride the next big wave in AI, grab a transformer. So, What’s a Transformer Model? A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence. What Can Transformer Models Do? The Virtuous Cycle of Transformer AI.

Machine Learning 180

Machine Learning Machine Learning AI AI 180

AWS Machine Learning Blog

MAY 30, 2024

The transcription of the video is within the tag. The detected label from the video is located in the tag, and the moderation detection label is within the tag. You can find the company policy in the tag. You are a specialist responsible for reviewing content to ensure compliance with company policies.

AWS 106

AWS AI AI ML 106

FlowingData

SEPTEMBER 29, 2021

UnstableGround is a project from the Woodwell Climate Research Center that focuses on climate change in the Arctic: Climate change is transforming the Arctic, impacting people and ecosystems across this vast region. Tags: Arctic , climate change. A stories section uses maps, charts, and photographs to communicate the ongoing research.

103

103

Dataconomy

SEPTEMBER 5, 2023

Secret Weapons recently introduced their latest artificial intelligence tool that works on “artistic video transformations.” Ebsynth AI is here to change the game, offering an intuitive and powerful solution for creating artistic video transformations. Ebsynth is not your average video editing tool.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

FlowingData

MAY 17, 2021

Upload an image and get back a transformed visual that uses dots, lines, or ascii. Tags: Duc-Quang Nguyen , pixels , R. Here’s a fun interactive by Duc-Quang Nguyen. Use the menu options to easily change resolution, colors, and shapes.

96

96

Towards AI

MARCH 31, 2024

Believe me, there are transformers at the NLP center today. Transformers, in short, are deep learning architectures that allow you to find meaningful relationships between words in text. Depending on your task, you can use many transformers. Next, we’ll leverage a RoBERTa-base model with the transformers library.

ML 52

ML ML Deep Learning Deep Learning 52

Snorkel AI

OCTOBER 23, 2023

Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. Tagging information like color, style, and pattern can make all the difference in a customer finding the right product at the right time. blue outdoor pillows”), they rely on product tags (e.g.

ML 64

ML ML Machine Learning Machine Learning 64

FlowingData

JANUARY 30, 2023

Moreover, we demonstrate that MusicLM can be conditioned on both text and a melody in that it can transform whistled and hummed melodies according to the style described in a text caption. Tags: Google , machine learning , music To support future research, we publicly release MusicCaps, a dataset composed of 5.5k

Machine Learning 89

Machine Learning Machine Learning 89

Snorkel AI

OCTOBER 23, 2023

Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. Tagging information like color, style, and pattern can make all the difference in a customer finding the right product at the right time. blue outdoor pillows”), they rely on product tags (e.g.

ML 59

ML ML Machine Learning Machine Learning 59

AssemblyAI

MAY 24, 2024

Below, we'll walk you through some of the ways individuals and companies are using Speech AI to transform and improve healthcare market research. Beyond basic tagging and categorization, Speech AI can also help with more nuanced parameters, such as speaker identification, sentiment, and thematic content.

AI 59

AI AI Data Analysis Data Analysis 59

Dataversity

FEBRUARY 1, 2022

Digital transformation powered by automation has changed the way organizations around the world operate. Traditional automation uses tags and triggers to initiate the next event in a sequence. The post Hyperautomation Projects Will Unleash the Next Phase of Digital Transformation appeared first on DATAVERSITY.

Predictive Analytics 52

Predictive Analytics Cloud Data ML ML 52

Explosion

APRIL 13, 2023

To support human annotation, we first annotate 100 Assessment and Plan subsections manually using Prodigy, and then use spacy-transformers to fine-tune a general domain RoBERTa-base model pretrained on OntoNotes 5 for both the Assessment and Plan section NER tagging.

40

40

AWS Machine Learning Blog

OCTOBER 6, 2023

Furthermore, we discuss the diverse applications of these models, focusing particularly on several real-world scenarios, such as zero-shot tag and attribution generation for ecommerce and automatic prompt generation from images. This is where the power of auto-tagging and attribute generation comes into its own.

AI 91

AI AI AWS ML 91

Snorkel AI

AUGUST 22, 2023

What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner. Examples of theme-related tags include “Outer Space Rug,” “Bird Decorative Object,” etc.

Machine Learning 52

Machine Learning Machine Learning Data Preparation Artificial Intelligence 52

Snorkel AI

AUGUST 22, 2023

What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner. Examples of theme-related tags include “Outer Space Rug,” “Bird Decorative Object,” etc.

Machine Learning 52

Machine Learning Machine Learning Data Preparation Artificial Intelligence 52

Dataconomy

MARCH 5, 2024

The reasons behind the PlayStation lawsuit claim The escalation in the cost of modern gaming serves as a driving factor in this scenario, particularly with the advent of the PlayStation 5 and Xbox Series S/X generation , where AAA titles now launch with a standard edition price tag of around $70.

103

103

Towards AI

DECEMBER 28, 2023

Over the past 11 years in the field of data science, I’ve witnessed significant transformations. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’ Large Language Models – Deep dive into Transformers This is Part 1 of a course on LLMs as taught by AI4Bharat, IIT Madras' Prof.

Natural Language Processing 107

Natural Language Processing Deep Learning Deep Learning Python 107

Data Science Dojo

AUGUST 8, 2023

Transforming simple inputs into unique outputs Moreover, prompt engineering can transform simple inputs into unique outputs, improving the overall model performance. Familiarize yourself with key concepts like tokenization, part-of-speech tagging, named entity recognition, and syntactic parsing.

Natural Language Processing 221

Natural Language Processing AI AI Python 221

AssemblyAI

NOVEMBER 8, 2023

Introduction Punctuation Restoration and Truecasing are critical components in speech-processing applications, transforming the output from Automatic Speech Recognition (ASR) models into well-structured and intelligible text. Transformers use self-attention mechanisms to weigh the importance of different parts of the input data.

System Architecture 59

System Architecture Deep Learning Deep Learning AI 59

Dataconomy

FEBRUARY 19, 2024

Energy conversion: Semiconductor converters transform the decay energy into electricity. These batteries pack a punch in terms of size and weight, crank up the heat with high internal temperatures, and don’t shy away from hefty price tags, making them a no-go for everyday folks.

AI 209

AI AI 209

Mlearning.ai

AUGUST 6, 2023

I was constantly on the lookout for trending topics, striving to author engaging articles, and ensuring my content was SEO-optimized with relevant tags. This feature alone was transformative. Furthermore, the tool automated the process of tagging articles based on the content — an essential factor for SEO.

AI 52

AI AI Database ML 52

AWS Machine Learning Blog

SEPTEMBER 26, 2023

The first container uses a scikit-learn model to transform raw data into featurized columns. The preprocessing script uses SimpleImputer for handling missing values, StandardScaler for normalizing numerical columns, and OneHotEncoder for transforming categorical columns. The second container hosts a pretrained XGboost model (i.e.,

ML 96

ML ML Python AWS 96

How to Learn Machine Learning

APRIL 15, 2023

AI has transformed the way content is created, managed, and distributed. Another tool that has revolutionized content management is content tagging. Content tagging uses AI algorithms to tag content based on its topic, tone, and relevance. It has transformed the way content is created, managed, and distributed.

AI 52

AI AI Algorithm Machine Learning 52

PyImageSearch

JUNE 26, 2023

Transformer Preprocessing ⚙️ Transformer Encoder ? Transformer Decoder ? Superior Attention Span with Transformers ? This enables the transformer architecture in DETR to focus on learning to detect and localize objects effectively. CNN Backbone ? Prediction Heads: Feed-Forward Network ➡️? Importance of DETR ? ?

Deep Learning 103

Deep Learning Deep Learning Computer Science Computer Science 103

IBM Data Science in Practice

APRIL 26, 2024

Photo by Tim van der Kuip on Unsplash In the era of digital transformation, enterprises are increasingly relying on the power of artificial intelligence (AI) to unlock valuable insights from their vast repositories of data. Within this landscape, Cloud Pak for Data (CP4D) emerges as a pivotal platform.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

AWS Machine Learning Blog

APRIL 19, 2024

Amazon Personalize accelerates your digital transformation with machine learning (ML), making it effortless to integrate personalized recommendations into existing websites, applications, email marketing systems, and more. Optionally, add any tags.

AWS 90

AWS ML ML Machine Learning 90

AWS Machine Learning Blog

APRIL 17, 2023

This can be a tedious task involving data collection, discovery, profiling, cleansing, structuring, transforming, enriching, validating, and securely storing the data. For scenarios where you need to add your own custom scripts for data transformations, you can write your transformation logic in Pandas, PySpark, PySpark SQL.

AWS 80

AWS ML ML Python 80

Towards AI

JULY 20, 2023

This is a very tough problem for current transformers to solve for. Translation: Transformers suck at this task. Code: kzl/universal-computation Official codebase for Pretrained Transformers as Universal Computation Engines. mutiann/byte2speech This is an implementation of the paper, based on the open-source Transformer-TTS.

Deep Learning 81

Deep Learning Deep Learning Data Analysis Data Analysis 81

IBM Data Science in Practice

NOVEMBER 21, 2022

Leverage the Watson NLP library to build the best classification models by combining the power of classic ML, Deep Learning, and Transformed based models. link] Text classification is one of the most used NLP tasks for several use cases like email spam filtering, tagging, and classifying content, blogs, metadata, etc.

Deep Learning 130

Deep Learning Deep Learning Exploratory Data Analysis ML 130

Smart Data Collective

SEPTEMBER 24, 2020

Using Google Photos to search photos even if they have not been tagged. Users’ disorganized libraries of thousands of untagged photos were transformed into searchable databases overnight.”. Most of them didn’t think to tag their pictures, which made it difficult to find what they were looking for.

Machine Learning 127

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 127

phData

OCTOBER 2, 2023

In a process known as feature engineering, data scientists apply transformations to raw data to create features suitable for ML models to consume. Since it’s open-source, it is free to use, but may come with a higher learning curve to work with associated storage and transformation technologies. Pros Feature reusability.

Data Warehouse 98

Data Warehouse ML ML Data Scientist 98

ODSC - Open Data Science

SEPTEMBER 12, 2023

A purpose-built time series database, on the other hand, can easily maintain this type of metadata in the form of tags or labels associated with each time series. And retrieving data is straightforward with a query language like SQL where you can filter by value, tag, time range, and more.

Data Scientist 97

Data Scientist Database Data Lakes Data Science 97

Data Science Dojo

JANUARY 19, 2024

Each layer consists of neurons that apply specific transformations to the data. Here are some key real-world applications: Facial recognition : Neural networks are used in facial recognition technologies, which are prevalent in security systems, smartphone unlocking, and social media for tagging photos.

Natural Language Processing 195

Natural Language Processing Algorithm Deep Learning Deep Learning 195

AWS Machine Learning Blog

MARCH 13, 2024

You will find the chat message in tag, and find the policy in the tag. You can find additional rules in the tag to assist your decision. Please consider and provide your analysis in the tag, breaking down each rule in the rule section, and keep and analysis within 100 words. Respond in the tag with either 'Y' or 'N'.

AWS 101

AWS AI AI Natural Language Processing 101

Flipboard

NOVEMBER 24, 2023

This emergent ability in LLMs has compelled software developers to use LLMs as an automation and UX enhancement tool that transforms natural language to a domain-specific language (DSL): system instructions, API requests, code artifacts, and more. In the following improved prompt, notice the addition of examples enclosed in XML tags.

Database 112

Database AWS ETL SQL 112

Dataconomy

JANUARY 29, 2024

Join us on this transformative journey as we uncover the potential of GPT Mentions and revolutionize your interaction with artificial intelligence. The GPT Mentions feature is initiated through a straightforward tagging mechanism. What is the new GPT Mentions feature?

AI 199

AI AI Artificial Intelligence Artificial Intelligence 199

ODSC - Open Data Science

APRIL 28, 2023

Introduction to SpaCy SpaCy is a python library designed to provide a “complete” NLP pipeline, including ingestion, tokenization, tagging, representation, and even classification. Transformers for sentiment analysis (Alt title: Autobots Roll Out!) Transformers are fascinating and powerful technologies. In some cases, yes.

Deep Learning 98

Deep Learning Deep Learning Data Science Natural Language Processing 98