Snorkel AI

JULY 14, 2023

Our focus in this release was to optimize data-centric iteration, advance foundation model workflows, and enhance enterprise readiness, all while incorporating significant customer feedback. This significant achievement underscores Snorkel’s rigorous commitment to upholding robust security practices and safeguarding customer data.

Auto-classification 52

Auto-classification Machine Learning Data Platform LLM 52

deepsense.ai

OCTOBER 8, 2023

AI agents are designed to mimic some aspects of human intelligence and behavior, allowing them to operate autonomously or semi-autonomously in their environment. Workflow The user initiates the app-building process with a singular prompt. Traditionally, AI agents were primarily utilized in the domain of game development.

Auto-complete 92

Auto-complete LLM AI AI 92

IBM Journey to AI blog

JANUARY 8, 2024

These apps are deployed as a single unit and often result in longer churn time for small changes. IBM Mono2Micro is an AI-based, semi-automated toolset that uses novel machine learning algorithms and a first-of-its-kind code generation technology to assist you in that refactoring journey to full or partial microservices.

Automation 171

Automation Explainability Machine Learning Algorithm 171

AWS Machine Learning Blog

NOVEMBER 22, 2023

He highlights innovations in data, infrastructure, and artificial intelligence and machine learning that are helping AWS customers achieve their goals faster, mine untapped potential, and create a better future. Discover the latest AWS innovations, hear from top customers, and explore where AI/ML is headed.

ML 112

ML Generative AI Prompt Engineer Prompt Engineering 112

Marktechpost

MAY 10, 2024

AI can be used to create web services and customer-facing apps to coordinate sales and marketing efforts better. Create a basic ML app, train your model rapidly, and then instantly deploy it as a REST API after analyzing and refining it. Using PyCaret, virtually anyone can create complete, low-code machine-learning solutions.

AI Tools 111

AI Tools Machine Learning Artificial Intelligence Artificial Intelligence 111

Marktechpost

JULY 17, 2023

The company’s H20 Driverless AI streamlines AI development and predictive analytics for professionals and citizen data scientists through open source and customized recipes. It can also eliminate data silos by providing a single location for structured, semi-structured, and unstructured data.

Machine Learning 91

Machine Learning Data Mining Data Scientist Artificial Intelligence 91

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. On the Review page, select I acknowledge that AWS CloudFormation might create IAM resources with custom names and choose Create stack. On the Domains page, choose SageMakerDemoDomain.

ML 93

ML Auto-complete Auto-classification Machine Learning 93

Pickl AI

NOVEMBER 15, 2023

This historical perspective is crucial for identifying long-term business strategies, understanding customer behavior, and making predictions based on past performance. This includes customer transaction records, online and in-store interactions, social media mentions, and supplier information.

ETL 52

ETL Metadata Business Intelligence Data Analysis 52

ODSC - Open Data Science

JUNE 7, 2023

This can be structured, semi-structured, and even unstructured data. AWS also focuses on customers of all sizes and industries so they can store and protect any amount of data for virtually any use case, such as data lakes, cloud-native applications, and mobile apps while providing easy-to-use management features.

Metadata 52

Metadata Data Science Machine Learning Python 52

Snorkel AI

OCTOBER 12, 2023

On the research side, he and his team have been developing programming frameworks such as Demonstrate-Search-Predict (DSP) that reliably connect an LLM to factual information and automatically improve the app’s performance over time. She then explores how they can be overcome using Snorkel’s data-centric approach.

Data Scientist 64

Data Scientist AI AI ML 64

Snorkel AI

OCTOBER 12, 2023

On the research side, he and his team have been developing programming frameworks such as Demonstrate-Search-Predict (DSP) that reliably connect an LLM to factual information and automatically improve the app’s performance over time. She then explores how they can be overcome using Snorkel’s data-centric approach.

Data Scientist 59

Data Scientist AI AI ML 59

Marktechpost

DECEMBER 10, 2023

AI can be used to create web services and customer-facing apps to coordinate sales and marketing efforts better. Create a basic ML app, train your model rapidly, and then instantly deploy it as a REST API after analyzing and refining it. Using PyCaret, virtually anyone can create complete, low-code machine-learning solutions.

AI Tools 108

AI Tools Machine Learning Artificial Intelligence Artificial Intelligence 108

Bugra Akyildiz

JULY 16, 2023

By learning latent representations from (semi-)structured tabular data, pretrained table models have shown preliminary but impressive performance for semantic parsing, question answering, table understanding, and data preparation. . 🧠 Memory and persistency : Ensures long-term persistency of automated editing variables with TinyDB.

LLM 52

LLM Chatbots Large Language Models Neural Network 52

Snorkel AI

JANUARY 12, 2023

business may create a model for classifying customer support tickets in English, but then need French and German versions of that model when they open affiliates in Europe. This may require extensive customization and fine-tuning of the model. Modeling Snorkel Flow offers two ways to train models: in-app or via the Python SDK.

BERT 52

BERT Natural Language Processing NLP Auto-classification 52

Explosion

DECEMBER 30, 2020

Mar 16: Ines published an end-to-end video tutorial showing how to use our annotation tool Prodigy to train a named entity recognition model from scratch, by taking advantage of semi-automatic annotation and modern transfer learning techniques. ? We’ve been using it extensively in our projects ever since! ? Special thanks to Yohei Tamura ! ?

NLP 52

NLP Python Machine Learning Natural Language Processing 52

AWS Machine Learning Blog

AUGUST 4, 2023

Added support for inference flow in generated artifacts Customers want to take the data transformations they’ve applied to their model training data, such as one-hot encoding, PCA, and impute missing values, and apply those data transformations to real-time inference or batch inference in production.

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Auto-complete ML Metadata Python 73

The MLOps Blog

JANUARY 5, 2023

Read also The Ultimate Guide to Word Embeddings Training, Visualizing, and Understanding Word Embeddings: Deep Dive Into Custom Datasets Evaluation of visual search engines Stephen: It does really seem like a tricky problem to solve. Even big fashion companies such as H&M have it in their apps. That would be the important thing.

Computer Vision 52

Computer Vision Machine Learning ML Explainability 52

The MLOps Blog

OCTOBER 3, 2023

They’re doing a forecast for customer lifetime value for our e-commerce example. And maybe it’s “money spent in the first three months of the customer’s journey” or what campaign they came through. For example, logic to represent a customer or a contract value in a sales pipeline. We offer that guarantee.

ML 52

ML Data Scientist Machine Learning Data Science 52

Flipboard

JULY 23, 2023

The Oracle : Oracle has offered a robust, enterprise-grade database to its customers for almost four decades. This database administration software is used in various gaming apps, database automation tools, and domain registrations. It’s utilized for semi-structured data where consistency trumps availability.

Artificial Intelligence 119

Artificial Intelligence Artificial Intelligence Deep Learning Data Science 119

IBM Journey to AI blog

AUGUST 4, 2023

Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program. Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations.

Machine Learning 162

Machine Learning AI AI Automation 162