Marktechpost

OCTOBER 7, 2024

Recurrent neural networks (RNNs) have been foundational in machine learning for addressing various sequence-based problems, including time series forecasting and natural language processing. indicating strong results across varying levels of data quality. while the minGRU scored 79.4, Let’s collaborate!

Neural Network 106

Neural Network Natural Language Processing Machine Learning Data Quality 106

Pickl AI

JULY 12, 2024

Introduction Artificial Intelligence (AI) transforms industries by enabling machines to mimic human intelligence. Python’s simplicity, versatility, and extensive library support make it the go-to language for AI development. Python’s strength in AI development lies in its rich ecosystem of libraries.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Neural Network 52

NVIDIA

JULY 13, 2023

Generative AI for Financial Services According to a recent NVIDIA survey , the top AI use cases in the financial services industry are customer services and deep analytics, where natural language processing and LLMs are used to better respond to customer inquiries and uncover investment insights.

Generative AI 98

Generative AI AI AI Natural Language Processing 98

Marktechpost

OCTOBER 8, 2024

Large language models (LLMs) have revolutionized natural language processing and artificial intelligence, enabling a variety of downstream tasks. However, most advanced models focus predominantly on English and a limited set of high-resource languages, leaving many European languages underrepresented.

Natural Language Processing 60

Natural Language Processing Large Language Models Artificial Intelligence Artificial Intelligence 60

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.

Data Scientist 64

Data Scientist Neural Network AI AI 64

John Snow Labs

OCTOBER 19, 2023

Natural Language Processing (NLP) models rely heavily on bias to function effectively. In fact, a certain degree of bias is essential for these models to make accurate predictions and decisions based on patterns within the data they have been trained on.

NLP 52

NLP Natural Language Processing Machine Learning AI 52

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.

Data Scientist 59

Data Scientist Neural Network AI AI 59

ODSC - Open Data Science

OCTOBER 2, 2024

Dive into the real-world applications of Generative AI, from hyper-accurate demand forecasting to dynamic logistics optimization and proactive risk mitigation, and explore how this cutting-edge technology is slashing costs, boosting revenues, and enhancing agility for businesses across industries with concrete code examples.

Data Scientist 52

Data Scientist Large Language Models Machine Learning LLM 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process.

Large Language Models 52

Large Language Models Natural Language Processing LLM AI 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

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.

Data Scientist 52

Data Scientist AI AI Neural Network 52

Topbots

DECEMBER 19, 2023

Presenters from various spheres of AI research shared their latest achievements, offering a window into cutting-edge AI developments. In this article, we delve into these talks, extracting and discussing the key takeaways and learnings, which are essential for understanding the current and future landscapes of AI innovation.

Computer Vision 52

Computer Vision Natural Language Processing AI Researcher AI Research 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

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.

UX Design 59

UX Design AI AI Automation 59

Viso.ai

DECEMBER 18, 2023

Training algorithm of Generative Adversarial Network (GAN) for creating synthetic data – source. Applications of Synthetic Data in Artificial Intelligence and Machine Learning Synthetic data can train and test models for computer vision (CV), natural language processing (NLP), speech recognition, and more.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

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 Data Quality 52

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 Data Quality 52

Viso.ai

JUNE 24, 2024

However, those models still hold drawbacks, things like font, language, and format are big challenges for OCR models. Content Summarization Computer vision (CV) and Natural Language Processing can provide further abilities to the visually impaired.

Computer Vision 40

Computer Vision Convolutional Neural Networks AI AI 40

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 137

Generative AI ML LLM AI 137

Unite.AI

SEPTEMBER 26, 2024

This move was vital in reducing development costs and encouraging innovation. The momentum continued in 2017 with the introduction of transformer models like BERT and GPT, which revolutionized natural language processing. These models made AI tasks more efficient and cost-effective.

AI 147

AI AI Neural Network Data Quality 147

Dlabs.ai

DECEMBER 6, 2022

They can help you with: Data quality audits Building data systems and pipelines Custom AI development services Machine learning consulting Beyond their artificial intelligence expertise, the team values its people-centric approach, communicating between themselves and with the client, ensuring every project exceeds expectations.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Computer Vision Machine Learning 52

ODSC - Open Data Science

OCTOBER 3, 2024

AI Development Lifecycle: Learnings of What Changed with LLMs Noé Achache | Engineering Manager & Generative AI Lead | Sicara Using LLMs to build models and pipelines has made it incredibly easy to build proof of concepts, but much more challenging to evaluate the models. billion customer interactions.

Large Language Models 40

Large Language Models Machine Learning Data Scientist LLM 40