Snorkel AI

JUNE 12, 2023

The Snorkel team’s mission over the last eight-plus years has been to make AI data development first-class and programmatic so that it can look more like an afternoon of software development than months of outsourced manual annotation.

Data Platform 145

Data Platform Large Language Models Software Development ChatGPT 145

Snorkel AI

JUNE 12, 2023

The Snorkel team’s mission over the last eight-plus years has been to make AI data development first-class and programmatic so that it can look more like an afternoon of software development than months of outsourced manual annotation.

Data Platform 141

Data Platform Large Language Models Software Development ChatGPT 141

IBM Journey to AI blog

FEBRUARY 13, 2024

The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial. Imagine training a generative AI model on a dataset of only romance novels.

Generative AI 313

Generative AI AI AI Chatbots 313

IBM Journey to AI blog

DECEMBER 8, 2023

The hybrid cloud approach is complemented by the IBM Edge Application Manager, enabling OEMs to scale and operate edge solutions autonomously, along with the IBM Embedded Automotive Platform, a Java runtime optimized for in-vehicle use. Finally, IBM Security® X-Force® Red provides specific automotive testing offerings.

Automation 186

Automation Data Platform Software Development AI Engineer 186

IBM Journey to AI blog

AUGUST 1, 2023

We are bringing the power of foundation models with the availability of a GPU as a service on IBM Cloud offering to help organizations tap into artificial intelligence (AI) in a secured environment while aiming to mitigate third- and fourth-party risk.

Artificial Intelligence 170

Artificial Intelligence Artificial Intelligence Software Development Generative AI 170

Marktechpost

JULY 17, 2023

It is impossible to completely substitute accurate data because precise, accurate data are still needed to generate practical synthetic examples of the information. How Important Is Synthetic Data? To train neural networks, developers require vast, meticulously annotated datasets. You can read more about the process here.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

AWS Machine Learning Blog

NOVEMBER 15, 2023

Together, Principal and AWS have built data ingestion pipelines for customer email interactions and additional metadata from their customer data platform, and built data aggregation and analytics mechanisms to combine omnichannel data into a single customer insight lens.

Data Ingestion 111

Data Ingestion Metadata NLP Data Scientist 111