Unite.AI

OCTOBER 12, 2023

We are dedicated to powering the machine learning algorithms and technologies of the future through data generation and enhancement across every language, culture and modality. What is your vision for how LXT can accelerate AI efforts for different clients?

Machine Learning 278

Machine Learning Deep Learning Conversational AI Data Quality 278

Flipboard

FEBRUARY 19, 2025

Monitoring, security, and compliance Comprehensive monitoring is provided through Amazon CloudWatch , offering real-time performance metrics, custom dashboards, and automated alerts. Focus should be placed on data quality through robust validation and consistent formatting.

Responsible AI 77

Responsible AI Natural Language Processing Explainability Large Language Models 77

Marktechpost

AUGUST 27, 2024

Saldor saves developers time and effort by automating the data-collecting process, freeing them up to concentrate on creating and improving their AI models. Salvador offers user-friendliness, dependability, and high-quality data. This makes it simple to include in workflows for AI development.

Data Extraction 101

Data Extraction Automation Linked Data Artificial Intelligence 101

Unite.AI

SEPTEMBER 12, 2024

Traditionally, AI research and development have focused on refining models, enhancing algorithms, optimizing architectures, and increasing computational power to advance the frontiers of machine learning. However, a noticeable shift is occurring in how experts approach AI development, centered around Data-Centric AI.

Data Quality 162

Data Quality Data Scarcity AI AI 162

Unite.AI

JUNE 10, 2024

Josh Wong is the Founder and CEO of ThinkLabs AI. ThinkLabs AI is a specialized AI development and deployment company. Its mission is to empower critical industries and infrastructure with trustworthy AI aimed at achieving global energy sustainability. Josh Wong attended the University of Waterloo.

Continuous Learning 130

Continuous Learning Automation Data Quality AI 130

IBM Journey to AI blog

DECEMBER 20, 2023

Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations.

AI Strategy 224

AI Strategy Artificial Intelligence Artificial Intelligence Machine Learning 224

Snorkel AI

MARCH 4, 2025

Data quality dependency: Success depends heavily on having high-quality preference data. When choosing an alignment method, organizations must weigh trade-offs like complexity, computational cost, and data quality requirements. Learn how to get more value from your PDF documents! Sign up here!

LLM 52

LLM Large Language Models Data Quality Prompt Engineer 52

AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

Responsible AI 111

Responsible AI Prompt Engineer Prompt Engineering AI 111

AWS Machine Learning Blog

FEBRUARY 21, 2025

Whether youre new to AI development or an experienced practitioner, this post provides step-by-step guidance and code examples to help you build more reliable AI applications. About the Authors Dheer Toprani is a System Development Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team.

LLM 124

LLM Large Language Models Natural Language Processing Machine Learning 124

Unite.AI

MAY 3, 2024

Considering the Prolific business model, what are your thoughts on the essential role of human feedback in AI development, especially in areas like bias detection and social reasoning improvement? Human feedback in AI development is crucial. The importance of data quality cannot be overstated for AI systems.

Data Quality 130

Data Quality AI Researcher AI Research AI Developer 130

Pickl AI

MARCH 7, 2025

Summary: The 4 Vs of Big DataVolume, Velocity, Variety, and Veracityshape how businesses collect, analyse, and use data. These factors drive decision-making, AI development, and real-time analytics. Volume, Velocity, Variety, and Veracity drive insights, AI models, and decision-making. Why does veracity matter?

Big Data 52

Big Data Machine Learning Data Quality Data Science 52

AWS Machine Learning Blog

NOVEMBER 7, 2024

It also lets you automate your evaluation process in your pre-production environments. Prompt chaining – Generative AI developers often use prompt chaining techniques to break complex tasks into subtasks before sending them to an LLM. When a new prompt is added to the catalog, it triggers the evaluation pipeline.

Generative AI 113

Generative AI Machine Learning AI AI 113

AWS Machine Learning Blog

NOVEMBER 16, 2023

One of the key drivers of Philips’ innovation strategy is artificial intelligence (AI), which enables the creation of smart and personalized products and services that can improve health outcomes, enhance customer experience, and optimize operational efficiency. Data Management – Efficient data management is crucial for AI/ML platforms.

Data Scientist 124

Data Scientist ML Data Science Automation 124

Pickl AI

DECEMBER 25, 2024

The dataset is openly accessible, making it a go-to resource for researchers and developers in Artificial Intelligence. EleutherAI, an independent research organisation dedicated to open-source AI, developed the Pile dataset. These features make the Pile a benchmark dataset for cutting-edge AI development.

Large Language Models 52

Large Language Models Natural Language Processing AI Researcher AI Research 52

NVIDIA

JULY 13, 2023

Advanced AI applications have the potential to help the industry better prevent fraud and transform every aspect of banking, from portfolio planning and risk management to compliance and automation. Financial Transformers , or “FinFormers,” can learn context and understand the meaning of unstructured financial data.

Generative AI 98

Generative AI AI AI Natural Language Processing 98

Snorkel AI

DECEMBER 2, 2024

The integration between the Snorkel Flow AI data development platform and AWS’s robust AI infrastructure empowers enterprises to streamline LLM evaluation and fine-tuning, transforming raw data into actionable insights and competitive advantages. Heres what that looks like in practice. Sign up here!

Data Ingestion 52

Data Ingestion Large Language Models LLM Machine Learning 52

Snorkel AI

MARCH 4, 2025

Data quality dependency: Success depends heavily on having high-quality preference data. When choosing an alignment method, organizations must weigh trade-offs like complexity, computational cost, and data quality requirements. Learn how to get more value from your PDF documents! Sign up here!

LLM 59

LLM Large Language Models Data Quality Prompt Engineer 59

O'Reilly Media

NOVEMBER 28, 2023

A healthy tools ecosystem has grown up around generative AI—and, as was said about the California Gold Rush, if you want to see who’s making money, don’t look at the miners; look at the people selling shovels. People with AI skills have always been hard to find and are often expensive. But they may back off on AI development.

Generative AI 125

Generative AI AI AI Data Analysis 125

Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Assigning complaints to staff.

Large Language Models 52

Large Language Models Natural Language Processing AI AI 52

Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Assigning complaints to staff.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Assigning complaints to staff.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Assigning complaints to staff.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

SEPTEMBER 27, 2024

Open Data Science AI News Blog Recap DOD Urged to Accelerate AI Adoption Amid Rising Global Threats ( Source ) Anthropic Eyes $40 Billion Valuation in New Funding Round ( Source ) Meta to Launch AI Celebrity Voices from Judi Dench, John Cena, and Other Celebrities ( Source ) Celebrities Fall Victim to ‘Goodbye Meta AI’ Hoax as Fake Privacy Message (..)

Artificial Intelligence 40

Artificial Intelligence Artificial Intelligence Data Science Large Language Models 40

Pickl AI

JUNE 23, 2023

Data Annotation In many AI applications, data annotation is necessary to label or tag the data with relevant information. Data annotation can be done manually or using automated techniques. This involves analyzing metrics, feedback from users, and validating the accuracy and reliability of the AI models.

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Topbots

SEPTEMBER 11, 2023

While each of them offers exciting perspectives for research, a real-life product needs to combine the data, the model, and the human-machine interaction into a coherent system. AI development is a highly collaborative enterprise. Users click a “big red button”, and the AI marches ahead to write and publish the content.

UX Design 59

UX Design AI AI Automation 59

TheSequence

OCTOBER 23, 2023

Based on our experience using LLMs on real-world text annotation projects, even the latest state-of-the-art models aren’t meeting quality expectations. What’s more, these models aren’t always cheaper than data labeling with human annotators. Toloka can help you in every stage of the AI development process.

LLM 59

LLM Large Language Models Automation Data Quality 59

Pickl AI

NOVEMBER 3, 2023

Discover how Artificial Intelligence (AI) is altering the stock trading sector. This article explores the emergence, development, and benefits of AI in the stock market, including data-driven insights and automated decision-making It emphasizes how AI can forecast market trends and patterns using historical data and in-the-moment analysis.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm AI 52

Pickl AI

APRIL 27, 2023

Data & Analytics leaders must count on these trends to plan future strategies and implement the same to make business operations more effective. For example, how can we maximize business value on the current AI activities? By adopting responsible AI, companies can positively impact the customer. Wrapping it up !!!

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Python 52

Bugra Akyildiz

AUGUST 3, 2024

Data Quality and Processing: Meta significantly enhanced their data pipeline for Llama 3.1: models for enhanced security Sample Applications: Developed reference implementations for common use cases (e.g., Data Quality and Processing: Meta significantly enhanced their data pipeline for Llama 3.1:

Neural Network 52

Neural Network Prompt Engineer Prompt Engineering Large Language Models 52

Snorkel AI

JANUARY 31, 2023

Snorkel AI provides a data-centric AI development platform for AI teams to unlock production-grade model quality and accelerate time-to-value for their investments. In order to further automate this machine learning iteration cycle, a CI/CD tool might make sense to trigger the deployment automatically.

Data Drift 52

Data Drift Explainability Data Scientist AI 52

Snorkel AI

JANUARY 31, 2023

Snorkel AI provides a data-centric AI development platform for AI teams to unlock production-grade model quality and accelerate time-to-value for their investments. In order to further automate this machine learning iteration cycle, a CI/CD tool might make sense to trigger the deployment automatically.

Data Drift 52

Data Drift Explainability Data Scientist AI 52

John Snow Labs

OCTOBER 19, 2023

One reason for this bias is the data used to train these models, which often reflects historical gender inequalities present in the text corpus. To address gender bias in AI, it’s crucial to improve the data quality by including diverse perspectives and avoiding the perpetuation of stereotypes.

NLP 52

NLP Natural Language Processing Machine Learning AI 52

Viso.ai

DECEMBER 18, 2023

Generation With Neural Network Techniques Neural Networks are the most advanced techniques of automated data generation. They can handle much richer data distributions than traditional algorithms, such as decision trees. Neural networks can also synthesize unstructured data like images and video. Rapid AI Development.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

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. From there, the key part, of course, is iterating as quickly as possible.

Machine Learning 52

Machine Learning Large Language Models AI AI 52

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. From there, the key part, of course, is iterating as quickly as possible.

Machine Learning 52

Machine Learning Large Language Models AI AI 52

AI News

SEPTEMBER 17, 2024

Additionally, half of the respondents support regulations aimed at ensuring transparency and ethical practices in AI development. Challenges extend beyond AI regulation However, the challenges facing AI adoption extend beyond regulatory concerns.

Data Quality 310

Data Quality Big Data AI AI 310

Unite.AI

OCTOBER 22, 2024

There are major growth opportunities in both the model builders and companies looking to adopt generative AI into their products and operations. We feel we are just at the beginning of the largest AI wave. Data quality plays a crucial role in AI model development.

Natural Language Processing 130

Natural Language Processing Generative AI Computer Vision Data Quality 130