AWS Machine Learning Blog

NOVEMBER 7, 2024

SageMaker JumpStart is a machine learning (ML) hub that provides a wide range of publicly available and proprietary FMs from providers such as AI21 Labs, Cohere, Hugging Face, Meta, and Stability AI, which you can deploy to SageMaker endpoints in your own AWS account. It’s serverless so you don’t have to manage the infrastructure.

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Marktechpost

APRIL 1, 2024

Addressing this challenge requires a solution that is scalable, versatile, and accessible to a wide range of users, from individual researchers to large teams working on the state-of-the-art side of AI development. Existing research emphasizes the significance of distributed processing and data quality control for enhancing LLMs.

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Towards AI

FEBRUARY 18, 2025

That said, Ive noticed a growing disconnect between cutting-edge AI development and the realities of AI application developers. It has already inspired me to set new goals for 2025, and I hope it can do the same for other ML engineers. AI Revolution is Losing Steam? Take, for example, the U.S.

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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. Chaithanya Maisagoni is a Senior Software Development Engineer (AI/ML) in Amazons Worldwide Returns and ReCommerce organization.

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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.

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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 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.

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Marktechpost

JULY 22, 2024

Models are trained on these data pools, enabling in-depth analysis of OP effectiveness and its correlation with model performance across various quantitative and qualitative indicators. In their methodology, the researchers implemented a hierarchical data pyramid, categorizing data pools based on their ranked model metric scores.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

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Marktechpost

OCTOBER 7, 2024

indicating strong results across varying levels of data quality. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers? while the minGRU scored 79.4, If you like our work, you will love our newsletter.

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Marktechpost

JUNE 15, 2024

The Nemotron-4 340B Instruct model is particularly noteworthy as it generates synthetic data that closely mimics real-world data, improving the data quality and enhancing the performance of custom LLMs across diverse domains. Also, don’t forget to follow us on Twitter. Join our Telegram Channel and LinkedIn Gr oup.

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Marktechpost

OCTOBER 7, 2024

However, challenges such as false positives, data quality, and limited treatment options prompted the integration of AI and IoMT technologies. These technologies enhance early detection and personalized care but face obstacles like data privacy, device reliability, and model generalizability. Let’s collaborate!

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Snorkel AI

OCTOBER 4, 2023

Artificial intelligence and machine learning (AI/ML) offer new avenues for credit scoring solutions and could usher in a new era of fairness, efficiency, and risk management. Traditional credit scoring models rely on static variables and historical data like income, employment, and debt-to-income ratio.

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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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Snorkel AI

JANUARY 24, 2023

Unfortunately accessing data across various locations and file types and then operationalizing that data for AI usage has traditionally been a painfully manual, time-consuming, and costly process. Ahmad Khan, Head of AI/ML Strategy at Snowflake, discusses the challenges of operationalizing ML in a recent talk.

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Snorkel AI

JANUARY 24, 2023

Unfortunately accessing data across various locations and file types and then operationalizing that data for AI usage has traditionally been a painfully manual, time-consuming, and costly process. Ahmad Khan, Head of AI/ML Strategy at Snowflake, discusses the challenges of operationalizing ML in a recent talk.

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Snorkel AI

OCTOBER 4, 2023

Artificial intelligence and machine learning (AI/ML) offer new avenues for credit scoring solutions and could usher in a new era of fairness, efficiency, and risk management. Traditional credit scoring models rely on static variables and historical data like income, employment, and debt-to-income ratio.

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TheSequence

DECEMBER 15, 2024

Google emphasizes its commitment to responsible AI development, highlighting safety and security as key priorities in building these agentic experiences. Command R7B: Command R7B, developed by Cohere, is the smallest model in their R series, focusing on speed, efficiency, and quality for building AI applications.

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Snorkel AI

JUNE 2, 2023

Databricks customers can now access millions of rows of data seamlessly within the Snorkel Flow platform thanks to a new Databricks connector. 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.

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Snorkel AI

JUNE 2, 2023

Databricks customers can now access millions of rows of data seamlessly within the Snorkel Flow platform thanks to a new Databricks connector. 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.

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Machine Learning Data Science Large Language Models ML 52

ODSC - Open Data Science

JANUARY 12, 2024

New and developing technologies like artificial intelligence (AI) and machine learning (ML) are vital in improving industries and daily life worldwide. However, bad actors always look for ways to twist these emerging technologies into something more sinister, making data poisoning a serious issue that you should be prepared for.

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Marktechpost

OCTOBER 8, 2024

Conclusion and Future Work The EuroLLM project has successfully developed multilingual language models that support all European Union languages, addressing the need for inclusive LLMs beyond English. Check out the Paper and Model on HF. All credit for this research goes to the researchers of this project. Let’s collaborate! and EuroLLM-1.7B-Instruct)

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Snorkel AI

OCTOBER 4, 2023

Artificial intelligence and machine learning (AI/ML) offer new avenues for credit scoring solutions and could usher in a new era of fairness, efficiency, and risk management. Traditional credit scoring models rely on static variables and historical data like income, employment, and debt-to-income ratio.

Data Scientist 52

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Snorkel AI

MARCH 14, 2023

Snorkel AI and Google Cloud have partnered to help organizations successfully transform raw, unstructured data into actionable AI-powered systems. Snorkel Flow easily deploys on Google Cloud infrastructure, ingests data from Google Cloud data sources, and integrates with Google Cloud’s AI and Data Cloud services.

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Snorkel AI

MARCH 14, 2023

Snorkel AI and Google Cloud have partnered to help organizations successfully transform raw, unstructured data into actionable AI-powered systems. Snorkel Flow easily deploys on Google Cloud infrastructure, ingests data from Google Cloud data sources, and integrates with Google Cloud’s AI and Data Cloud services.

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Snorkel AI

JANUARY 31, 2023

Building a machine learning (ML) pipeline can be a challenging and time-consuming endeavor. For an ML project to be successful, teams must build an end-to-end MLOps workflow that is scalable, auditable, and adaptable. Seldon is a deployment solution that helps teams serve, monitor, explain, and manage their ML models in production.

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Snorkel AI

JANUARY 31, 2023

Building a machine learning (ML) pipeline can be a challenging and time-consuming endeavor. For an ML project to be successful, teams must build an end-to-end MLOps workflow that is scalable, auditable, and adaptable. Seldon is a deployment solution that helps teams serve, monitor, explain, and manage their ML models in production.

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Data Drift Explainability Data Scientist AI 52

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. It includes Python and a vast collection of pre-installed libraries and tools for AI development.

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Pickl AI

NOVEMBER 3, 2023

It went from simple rule-based systems to advanced data-driven algorithms. Today, real-time trading choices are made by AI using the combined power of big data, machine learning (ML), and predictive analytics. Evolution of AI in Financial Markets Historically, traders depended on previous outcomes and their instincts.

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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.

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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

AI and machine learning (ML) technologies enable businesses to analyze unstructured data. AI and ML technologies work cohesively with data analytics and business intelligence (BI) tools. By adopting responsible AI, companies can positively impact the customer. There is much to explore and unfold.

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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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LLM Large Language Models Automation Data Quality 59

Viso.ai

DECEMBER 18, 2023

Access to synthetic data is valuable for developing effective artificial intelligence (AI) and machine learning (ML) models. Real-world data often poses significant challenges, including privacy, availability, and bias. To address these challenges, we introduce synthetic data as an ML model training solution.

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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? These kinds of benchmarks have played a very critical role in accelerating the space, especially in ML.

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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? These kinds of benchmarks have played a very critical role in accelerating the space, especially in ML.

Machine Learning 52

Machine Learning Algorithm ML Data Quality 52

Snorkel AI

FEBRUARY 27, 2023

His presentation also highlights the ways that Snorkel’s platform, Snorkel Flow, enables users to rapidly and programmatically label and develop datasets and then use them to train ML models. So all of this points to the pain or pessimistic bottleneck “takes” around data.

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