Flipboard

JULY 31, 2023

How content teams approach using AI for content development AI has been a double-edged sword for many content and creative teams. On the one hand, over 55 percent of Bynder’s clients said they are using AI to automate time-consuming tasks to boost productivity.

AI 99

AI AI AI Tools Explainability 99

IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

Data Scientist 207

Data Scientist Metadata Responsible AI Explainability 207

IBM Journey to AI blog

APRIL 11, 2024

Evaluate inventory beyond algorithmic impact assessments Many organizations that develop many AI models rely on algorithmic impact assessment forms as their primary mechanism to gather important metadata about their inventory and assess and mitigate the risks of AI models before they are deployed.

AI 196

AI AI Responsible AI AI Modeling 196

AWS Machine Learning Blog

MAY 7, 2024

With a decade of enterprise AI experience, Veritone supports the public sector, working with US federal government agencies, state and local government, law enforcement agencies, and legal organizations to automate and simplify evidence management, redaction, person-of-interest tracking, and eDiscovery.

Metadata 97

Metadata Generative AI Machine Learning Large Language Models 97

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

AWS Machine Learning Blog

NOVEMBER 30, 2023

It also integrates with Machine Learning and Operation (MLOps) workflows in Amazon SageMaker to automate and scale the ML lifecycle. Here you can provide the metadata for this model hosting information along with the input format/template your specific model expects. What is FMEval? In his spare time, he loves traveling and writing.

Large Language Models 88

Large Language Models LLM Algorithm Responsible AI 88

AWS Machine Learning Blog

JULY 19, 2023

Model cards are intended to be a single source of truth for business and technical metadata about the model that can reliably be used for auditing and documentation purposes. The model registry supports a hierarchical structure for organizing and storing ML models with model metadata information.

Metadata 80

Metadata ML Machine Learning Python 80

AWS Machine Learning Blog

MARCH 2, 2023

W&B Sweeps is a powerful tool to automate hyperparameter optimization. W&B Sweeps will automate this kind of exploration. Ilan Gleiser is a Principal Global Impact Computing Specialist at AWS leading the Circular Economy, Responsible AI and ESG businesses.

BERT 75

BERT Deep Learning Metadata Auto-complete 75

Flipboard

MARCH 23, 2023

It’s clear that ChatGPT is not your run-of-the-mill automated chat server. We all know that ChatGPT is some kind of an AI bot that has conversations (chats). Customer service Over the past few years, a lot of work has gone into automating customer service. It can pretend to be an operating system. Or a text adventure game.

ChatGPT 133

ChatGPT Large Language Models OpenAI Explainability 133

Snorkel AI

MARCH 2, 2023

In terms of technology: generating code snippets, code translation, and automated documentation. The responsible AI measures pertaining to safety and misuse and robustness are elements that need to be additionally taken into consideration. The natural chatbot conversational agent, our contact center comes to mind.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

In terms of technology: generating code snippets, code translation, and automated documentation. The responsible AI measures pertaining to safety and misuse and robustness are elements that need to be additionally taken into consideration. The natural chatbot conversational agent, our contact center comes to mind.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

AWS Machine Learning Blog

NOVEMBER 29, 2023

An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. With these tools in hand, the next challenge is to integrate LLM evaluation into the Machine Learning and Operation (MLOps) lifecycle to achieve automation and scalability in the process.

LLM 83

LLM Data Scientist Algorithm Generative AI 83

The MLOps Blog

MARCH 21, 2023

To make that possible, your data scientists would need to store enough details about the environment the model was created in and the related metadata so that the model could be recreated with the same or similar outcomes. Automation is a good MLOps practice for speeding up all parts of that lifecycle.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69