Marktechpost

DECEMBER 6, 2023

We also need better ways to evaluate data quality and ensure efficient interaction between data selection and annotation. It has the potential to revolutionize AI development, making it faster, cheaper, and more accessible. In Conclusion, DAL is a game-changer for AI development.

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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?

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IBM Journey to AI blog

DECEMBER 20, 2023

This calls for the organization to also make important decisions regarding data, talent and technology: A well-crafted strategy will provide a clear plan for managing, analyzing and leveraging data for AI initiatives. Global enterprises rely on IBM Consulting™ as a partner for their AI transformation journeys.

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Snorkel AI

JANUARY 9, 2024

Snorkel offers a full suite of third-party data connectors, making data stored in popular cloud repositories like Databricks quickly and easily accessible for data-centric AI development with Snorkel Flow.

Machine Learning 52

Machine Learning Large Language Models LLM Data Scientist 52

Unite.AI

MARCH 14, 2024

Finally, AI strategy and training data constitute the largest allocations within AI budgets, signifying the strategic emphasis on laying a robust foundation for AI initiatives through comprehensive planning and quality data resources.

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Pickl AI

JUNE 23, 2023

Monitoring and Evaluation Data-centric AI systems require continuous monitoring and evaluation to assess their performance and identify potential issues. This involves analyzing metrics, feedback from users, and validating the accuracy and reliability of the AI models. Governance Emphasizes data governance, privacy, and ethics.

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Snorkel AI

OCTOBER 4, 2023

Some may choose to experiment with non-traditional data sources like digital footprints or recurring streaming payments to predict repayment behavior. How foundation models jumpstart AI development Foundation models (FMs) represent a massive leap forward in AI development.

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Snorkel AI

OCTOBER 4, 2023

Some may choose to experiment with non-traditional data sources like digital footprints or recurring streaming payments to predict repayment behavior. How foundation models jumpstart AI development Foundation models (FMs) represent a massive leap forward in AI development.

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Snorkel AI

JUNE 2, 2023

Weeks later, on June 29, Snorkel AI Founding Engineer and Product Director Vincent Chen will present at “ Building AI-Powered Products with Foundation Models ” at the Databricks Data + AI Summit. Both events will benefit the AI and ML community and continue to advance the conversation around this exciting technology.

Machine Learning 52

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Snorkel AI

JUNE 2, 2023

Weeks later, on June 29, Snorkel AI Founding Engineer and Product Director Vincent Chen will present at “ Building AI-Powered Products with Foundation Models ” at the Databricks Data + AI Summit. Both events will benefit the AI and ML community and continue to advance the conversation around this exciting technology.

Machine Learning 52

Machine Learning Large Language Models Data Science ML 52

ODSC - Open Data Science

JANUARY 12, 2024

Since training AI and ML models takes massive amounts of data, bad actors can manipulate them by peppering data sources with incorrect information. Data poisoning comes in many forms. Data training can be laborious, but ensuring the data quality used in training systems can be a worthwhile investment for organizations.

Machine Learning 52

Machine Learning ML Data Science Big Data 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Banks cannot send their sensitive customer data to crowd labelers or to third-party models without compromising security.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Banks cannot send their sensitive customer data to crowd labelers or to third-party models without compromising security.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Banks cannot send their sensitive customer data to crowd labelers or to third-party models without compromising security.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

AWS Machine Learning Blog

NOVEMBER 16, 2023

However, innovation was hampered due to using fragmented AI development environments across teams. This heterogeneity initially enabled different teams to move fast in their early AI development efforts, but is now holding back opportunities to scale and improve efficiency of our AI development processes.

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IBM Journey to AI blog

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

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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.

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Pickl AI

NOVEMBER 3, 2023

This demonstrated the revolutionary potential of AI in forex trading. Click here to know more about how one can unleash the power of AI and ML for scaling operations and data quality. With the help of their solution, Autotrader, traders were able to develop and test innovative algorithms.

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Snorkel AI

MARCH 14, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. Schedule a custom demo tailored to your use case with our ML experts today.

Data Scientist 52

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Snorkel AI

MARCH 14, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. Schedule a custom demo tailored to your use case with our ML experts today.

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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.

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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-classification 52

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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-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Pickl AI

APRIL 27, 2023

By adopting responsible AI, companies can positively impact the customer. It will also focus on regulating the moral behavior of AI developers and engineers while designing and developing AI solutions. It will help them focus on making the business operations more transparent and adopt an unbiased approach.

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AWS Machine Learning Blog

JANUARY 26, 2024

After your generative AI workload environment has been secured, you can layer in AI/ML-specific features, such as Amazon SageMaker Data Wrangler to identify potential bias during data preparation and Amazon SageMaker Clarify to detect bias in ML data and models.

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Viso.ai

DECEMBER 18, 2023

This allows for: Developing Robust and Generalizable AI Models. Training AI models on synthetic data exposes them to a wider range of variations and edge cases. Rapid AI Development. Using generative models for synthetic data can be much faster and cheaper than collecting real-world data.

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Snorkel AI

APRIL 25, 2023

I’m excited today to be talking about DataPerf, which is about building benchmarks for data-centric AI development. Why are benchmarks critical for accelerating development in any particular space? Fundamentally, there are only three really primary pillars in the context of measuring data quality.

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Snorkel AI

APRIL 25, 2023

I’m excited today to be talking about DataPerf, which is about building benchmarks for data-centric AI development. Why are benchmarks critical for accelerating development in any particular space? Fundamentally, there are only three really primary pillars in the context of measuring data quality.

Machine Learning 52

Machine Learning Algorithm ML AI 52

Towards AI

APRIL 2, 2024

However, the AI community has also been making a lot of progress in developing capable, smaller, and cheaper models. This can come from algorithmic improvements and more focus on pretraining data quality, such as the new open-source DBRX model from Databricks. Why should you care?

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Snorkel AI

JANUARY 24, 2023

Snorkel AI has teamed with Snowflake to help our shared customers transform raw, unstructured data into actionable, AI-powered insights. Users are able to rapidly improve training data quality and model performance using integrated error analysis to develop highly accurate and adaptable AI applications.

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Snorkel AI

JANUARY 24, 2023

Snorkel AI has teamed with Snowflake to help our shared customers transform raw, unstructured data into actionable, AI-powered insights. Users are able to rapidly improve training data quality and model performance using integrated error analysis to develop highly accurate and adaptable AI applications.

Data Ingestion 52

Data Ingestion AI AI Machine Learning 52

AI Weekly

MAY 11, 2023

theguardian.com Applied use cases TruthGPT: A Maximum Truth-Seeking AI Chatbot TruthGPT, Elon Musk's truth-seeking chatbot, aims to revolutionize AI by surpassing competitors and addressing limitations. Challenges include accuracy, legal risks, and AI bias, but its potential impact is intriguing.

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AI Chatbots Chatbots Robotics Artificial Intelligence 130

O'Reilly Media

NOVEMBER 28, 2023

People with AI skills have always been hard to find and are often expensive. While experienced AI developers are starting to leave powerhouses like Google, OpenAI, Meta, and Microsoft, not enough are leaving to meet demand—and most of them will probably gravitate to startups rather than adding to the AI talent within established companies.

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Generative AI AI AI Data Analysis 108

ODSC - Open Data Science

NOVEMBER 13, 2023

For previous grant performance, you can tap into online databases, which offer historical data on funded projects and their outcomes. According to a report by Gartner, poor data quality costs businesses an average of $12.9 Preparation takes the most time in AI development  — roughly 80% — from data gathering to production.

Data Science 52

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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. Determining when to retrain and how to do it efficiently can be difficult, often resulting in decommissioning previously trained models.

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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. Determining when to retrain and how to do it efficiently can be difficult, often resulting in decommissioning previously trained models.

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Data Drift Explainability 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. Market alignment : Prioritize market opportunities and customer needs to guide AI development.

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