AI Development and Auto-classification - Artificial Intelligence Zone

5 Levels in AI by OpenAI: A Roadmap to Human-Level Problem Solving Capabilities

Marktechpost

JULY 13, 2024

In an effort to track its advancement towards creating Artificial Intelligence (AI) that can surpass human performance, OpenAI has launched a new classification system. According to a Bloomberg article , OpenAI has recently discussed a five-level framework to clarify its goal for AI safety and future improvements.

OpenAI

OpenAI Auto-classification Conversational AI Categorization

Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

AWS Machine Learning Blog

FEBRUARY 20, 2025

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

Generative AI

Generative AI LLM Auto-classification Categorization

Alex Ratner, CEO & Co-Founder of Snorkel AI – Interview Series

Unite.AI

DECEMBER 1, 2023

Alex Ratner is the CEO & Co-Founder of Snorkel AI , a company born out of the Stanford AI lab. Snorkel AI makes AI development fast and practical by transforming manual AI development processes into programmatic solutions. This stands in contrast to—but works hand-in-hand with—model-centric AI.

Data Scientist

Data Scientist Auto-classification AI AI

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Snorkel Flow Spring 2023: warm starts and foundation models

Snorkel AI

MARCH 30, 2023

We’re thrilled to introduce the latest release of our data-centric AI development platform, Snorkel Flow. This release is packed with an array of new features and enhancements that we’re excited to share with you today. With the Spring 2022 release, we are making these available to all customers in beta.

Auto-classification

Auto-classification ML Automation ChatGPT

Snorkel Flow Summer 2023: faster, easier and more secure

Snorkel AI

JULY 14, 2023

We are thrilled to announce the latest edition of Snorkel Flow, our platform to rapidly build, manage, and deploy predictive AI applications (e.g., classification, information extraction) using programmatic labeling, fine-tuning, and distillation. Here’s what we’ve rolled out: LF Filtering : Looking for a particular LF?

Auto-classification

Auto-classification Data Scientist Machine Learning LLM

Snorkel Flow Summer 2023: faster, easier and more secure

Snorkel AI

JULY 14, 2023

We are thrilled to announce the latest edition of Snorkel Flow, our platform to rapidly build, manage, and deploy predictive AI applications (e.g., classification, information extraction) using programmatic labeling, fine-tuning, and distillation. Here’s what we’ve rolled out: LF Filtering : Looking for a particular LF?

Auto-classification

Auto-classification Machine Learning Data Science Data Platform

Snorkel Flow Summer 2023: faster, easier and more secure

Snorkel AI

JULY 14, 2023

We are thrilled to announce the latest edition of Snorkel Flow, our platform to rapidly build, manage, and deploy predictive AI applications (e.g., classification, information extraction) using programmatic labeling, fine-tuning, and distillation. Here’s what we’ve rolled out: LF Filtering : Looking for a particular LF?

Auto-classification

Auto-classification Machine Learning Data Science Data Platform

Pinterest builds User Understanding Infrastructure

Bugra Akyildiz

MAY 14, 2023

Simulation of consumption of queue up to drivers estimated position becomes an easy simple algorithm and results in wait time classification. They describe a visual programming platform for rapid and iterative development of end-to-end ML-based multimedia applications. They refer to this as our “demand” model.

Auto-classification

Auto-classification LLM ML Python

Building better datasets with Snorkel Flow error analysis

Snorkel AI

FEBRUARY 2, 2023

We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework. Traditional, model-centric AI development focuses its iteration loop on the model itself. Auto-generated tag-based LFs.

Auto-classification

Auto-classification Software Engineer Neural Network Machine Learning

Building better datasets with Snorkel Flow error analysis

Snorkel AI

FEBRUARY 2, 2023

We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework. Traditional, model-centric AI development focuses its iteration loop on the model itself. Auto-generated tag-based LFs.

Auto-classification

Auto-classification Software Engineer Neural Network Machine Learning

Adapting language-based models beyond English

Snorkel AI

JANUARY 12, 2023

For text classification, however, there are many similarities. Snorkel Flow capabilities supporting multi-lingual NLP The Snorkel Flow data-centric development loop, centered on programmatic labeling, rapid model and training data iteration, and performance analysis, applies across any language with minor adjustments.

BERT

BERT NLP Natural Language Processing Auto-classification

Operationalizing knowledge for data-centric AI

Snorkel AI

FEBRUARY 27, 2023

But I want to at least give our perspective on what motivated us back in 2015 to start talking about this and to start studying it back at Stanford, where the Snorkel team started: this idea of a shift from model-centric to data-centric AI development. This could be something really simple.

Machine Learning

Machine Learning Large Language Models AI AI

Operationalizing knowledge for data-centric AI

Snorkel AI

FEBRUARY 27, 2023

But I want to at least give our perspective on what motivated us back in 2015 to start talking about this and to start studying it back at Stanford, where the Snorkel team started: this idea of a shift from model-centric to data-centric AI development. This could be something really simple.

Machine Learning

Machine Learning Large Language Models AI AI

Artificial Intelligence Zone

5 Levels in AI by OpenAI: A Roadmap to Human-Level Problem Solving Capabilities

Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

Webinars

Trending Sources

Alex Ratner, CEO & Co-Founder of Snorkel AI – Interview Series

Webinars

Snorkel Flow Spring 2023: warm starts and foundation models

Snorkel Flow Summer 2023: faster, easier and more secure

Snorkel Flow Summer 2023: faster, easier and more secure

Snorkel Flow Summer 2023: faster, easier and more secure

Pinterest builds User Understanding Infrastructure

Building better datasets with Snorkel Flow error analysis

Building better datasets with Snorkel Flow error analysis

Adapting language-based models beyond English

Operationalizing knowledge for data-centric AI

Operationalizing knowledge for data-centric AI

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