Unite.AI

MARCH 14, 2024

The demand for high-quality training data is intensifying , with 66% of respondents anticipating an increase in their training data needs over the next two to five years. This underscores the critical role of data in training more sophisticated and accurate AI models.

Computer Vision 124

Computer Vision AI AI Artificial Intelligence 124

Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Snorkel AI

OCTOBER 4, 2023

ML can significantly reduce the time necessary to pre-process customer data for downstream tasks, like training predictive models. Supercharge predictive modeling. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

AI 64

AI AI Data Scientist Neural Network 64

Snorkel AI

OCTOBER 4, 2023

ML can significantly reduce the time necessary to pre-process customer data for downstream tasks, like training predictive models. Supercharge predictive modeling. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

AI 59

AI AI Data Scientist Neural Network 59

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. Alternately, Vertex AI Endpoints can be used to rapidly deploy models trained in Snorkel Flow.

Data Scientist 52

Data Scientist Data Drift AI AI 52

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. Alternately, Vertex AI Endpoints can be used to rapidly deploy models trained in Snorkel Flow.

Data Scientist 52

Data Scientist Data Drift AI AI 52

Viso.ai

DECEMBER 18, 2023

An example is a privacy-preserving solution for developing healthcare AI models. Healthcare professionals can use artificial patient data while keeping the statistical properties of real-world health data. Particularly, generative techniques for data that closely mirror authentic visual patterns.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

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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Data Ingestion Data Integration Data Quality LLM 199

Pickl AI

NOVEMBER 3, 2023

Data processing: In order to make well-informed forecasts, AI quickly analyses large datasets, including real-time information from social media and the news. Algorithms for ML: AI models employ ML to adjust and find correlations, gradually improving accuracy.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm AI 52

John Snow Labs

OCTOBER 19, 2023

Without bias, these models would struggle to understand and interpret complex language patterns, hindering their ability to provide accurate insights and predictions. This happens when AI models generalize from biased data and make incorrect or harmful assumptions.

NLP 52

NLP Natural Language Processing AI AI 52

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.

Generative AI 122

Generative AI LLM ML AI 122

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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LLM OpenAI Explainable AI AI 78

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.

Generative AI 108

Generative AI AI AI Data Analysis 108

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. AI products need special treatment when it comes to design.

AI 59

AI AI UX Design Automation 59

NVIDIA

JULY 13, 2023

Researchers are now using generative AI models to read a protein’s amino acid sequence and accurately predict the structure of target proteins in seconds, rather than weeks or months. 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

Marktechpost

APRIL 4, 2024

Gretel has made a remarkable contribution to the field of AI by launching the most extensive and diverse open-source Text-to-SQL dataset. This move will significantly accelerate the training of AI models and will enhance the quality of data-driven insights across various industries.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI Modeling Data Scarcity 98

Unite.AI

SEPTEMBER 4, 2023

Llama 2 isn't just another statistical model trained on terabytes of data; it's an embodiment of a philosophy. One that stresses an open-source approach as the backbone of AI development, particularly in the generative AI space. Data quality and diversity are just as pivotal as volume in these scenarios.

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ChatGPT Auto-complete Large Language Models LLM 290