Flipboard

DECEMBER 3, 2024

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. Generative AI is reshaping businesses and unlocking new opportunities across various industries.

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Flipboard

JULY 2, 2025

Generative AI has revolutionized customer interactions across industries by offering personalized, intuitive experiences powered by unprecedented access to information. For businesses, RAG offers a powerful way to use internal knowledge by connecting company documentation to a generative AI model.

AWS 139

AWS Clustering K-nearest Neighbors Algorithm 139

AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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AWS Machine Learning Blog

JULY 11, 2025

The rapid advancement of generative AI and foundation models (FMs) has significantly increased computational resource requirements for machine learning (ML) workloads. Combining the resiliency of SageMaker HyperPod and the efficiency of SkyPilot provides a powerful framework to scale up your generative AI workloads.

Machine Learning 92

Machine Learning Machine Learning Clustering AWS 92

AWS Machine Learning Blog

OCTOBER 18, 2024

In this post, we introduce an innovative solution for end-to-end model customization and deployment at the edge using Amazon SageMaker and Qualcomm AI Hub. After fine-tuning, we show you how to optimize the model with Qualcomm AI Hub so that it’s ready for deployment across edge devices powered by Snapdragon and Qualcomm platforms.

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Pickl AI

NOVEMBER 4, 2024

Summary: Python for Data Science is crucial for efficiently analysing large datasets. With numerous resources available, mastering Python opens up exciting career opportunities. Introduction Python for Data Science has emerged as a pivotal tool in the data-driven world. As the global Python market is projected to reach USD 100.6

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Flipboard

JULY 7, 2025

However, if you are new to these concepts consider learning them from the following resources: Programming: You need to learn the basics of programming in Python, the most popular programming language for machine learning.

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Natural Language Processing Machine Learning Machine Learning Data Science 158

Flipboard

JULY 15, 2025

As a Central Bank-regulated financial institution in India, we recently observed a surge in our employees’ interest in using public generative AI assistants. However, this growing reliance on public generative AI tools quickly raised red flags for our Information Security (Infosec) team.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

At the time, I knew little about AI or machine learning (ML). But AWS DeepRacer instantly captured my interest with its promise that even inexperienced developers could get involved in AI and ML. Working on community projects improved my skills in Python, Jupyter, numpy, pandas, and ROS.

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Flipboard

JULY 17, 2025

Retrieval Augmented Generation (RAG) addresses these gaps by combining semantic search with generative AI , enabling models to retrieve relevant information from enterprise knowledge bases before responding. Use built-in LLM-based generative AI metrics such as correctness and relevance to assess output quality.

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Towards AI

JANUARY 29, 2025

Last Updated on January 29, 2025 by Editorial Team Author(s): Aleti Adarsh Originally published on Towards AI. We have seen how Machine learning has revolutionized industries across the globe during the past decade, and Python has emerged as the language of choice for aspiring data scientists and seasoned professionals alike.

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Machine Learning Machine Learning Python Supervised Learning 98

AWS Machine Learning Blog

MARCH 3, 2025

Increasingly, organizations across industries are turning to generative AI foundation models (FMs) to enhance their applications. The launcher interfaces with underlying cluster management systems such as SageMaker HyperPod (Slurm or Kubernetes) or training jobs, which handle resource allocation and scheduling. recipes=recipe-name.

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Clustering AWS ML ML 104

AWS Machine Learning Blog

NOVEMBER 22, 2024

Companies across various scales and industries are using large language models (LLMs) to develop generative AI applications that provide innovative experiences for customers and employees. By offloading the management and maintenance of the training cluster to SageMaker, we reduce both training time and our total cost of ownership (TCO).

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Clustering AWS ML ML 100

Pickl AI

JANUARY 12, 2025

Summary: The article explores the differences between data driven and AI driven practices. Data-driven and AI-driven approaches have become key in how businesses address challenges, seize opportunities, and shape their strategic directions.

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Artificial Intelligence Artificial Intelligence AI AI 52

AWS Machine Learning Blog

NOVEMBER 1, 2024

Independent software vendors (ISVs) like Druva are integrating AI assistants into their user applications to make software more accessible. Dru , the Druva backup AI copilot, enables real-time interaction and personalized responses, with users engaging in a natural conversation with the software. Generate and invoke private API calls.

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Python K-nearest Neighbors AI AI 109

AWS Machine Learning Blog

JANUARY 6, 2025

The SageMaker Python SDK provides the ScriptProcessor class, which you can use to run your custom processing script in a SageMaker processing step. SageMaker provides the PySparkProcessor class within the SageMaker Python SDK for running Spark jobs. slim-buster RUN pip3 install pandas==0.25.3 scikit-learn==0.21.3

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Python AWS ML ML 111

How to Learn Machine Learning

JULY 6, 2025

Hence you will have clustering and dimensionality reduction as the main two kinds of unsupervised learning. Algorithms such as K-means clustering, as well as principal component analysis (PCA), fall under unsupervised learning. They are used for customer segmentation, anomalies, or compression.

Machine Learning 52

Machine Learning Machine Learning Algorithm Clustering 52

Flipboard

JUNE 13, 2025

As artificial intelligence (AI) continues to transform industries—from healthcare and finance to entertainment and education—the demand for professionals who understand its inner workings is skyrocketing. Yet, navigating the world of AI can feel overwhelming, with its complex algorithms, vast datasets, and ever-evolving tools.

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AWS Machine Learning Blog

DECEMBER 18, 2024

AIs transformative impact extends throughout the modern business landscape, with telecommunications emerging as a key area of innovation. Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019.

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Clustering AWS AI AI 101

AWS Machine Learning Blog

FEBRUARY 7, 2025

This post details how we used Amazon Bedrock to create an AI assistant (Untold Assistant), providing artists with a straightforward way to access our internal resources through a natural language interface integrated directly into their existing Slack workflow. Security and control are paramount in our AI adoption strategy.

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Eugene Yan

JUNE 21, 2025

An overview of what well cover in this writeup By the way, if you want to learn more about evals, my friends Hamel and Shreya are hosting their final cohort of “AI Evals for Engineers and PMs” in July. Clustering : Aggregating and grouping relevant information from multiple sources based on specific criteria. Please let me know !

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AssemblyAI

DECEMBER 4, 2024

Let's see how to use Multichannel transcription with the AssemblyAI Python SDK: import assemblyai as aai audio_file = " /multichannel-example.mp3" config = aai.TranscriptionConfig(multichannel=True) transcript = aai.Transcriber().transcribe(audio_file,

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Flipboard

JULY 3, 2025

Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. To address these challenges, AWS has expanded Amazon SageMaker with a comprehensive set of data, analytics, and generative AI capabilities.

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AWS Machine Learning Blog

JULY 15, 2025

As large language models (LLMs) and generative AI applications become increasingly prevalent, the demand for efficient, scalable, and low-latency inference solutions has grown. This post is co-written with Kshitiz Gupta, Wenhan Tan, Arun Raman, Jiahong Liu, and Eiluth Triana Isaza from NVIDIA.

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phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. This process is repeated until the entire text is divided into coherent segments. The below flow diagram illustrates this process.

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AWS Machine Learning Blog

JANUARY 15, 2025

This post introduces HCLTechs AutoWise Companion, a transformative generative AI solution designed to enhance customers vehicle purchasing journey. Powered by generative AI services on AWS and large language models (LLMs) multi-modal capabilities, HCLTechs AutoWise Companion provides a seamless and impactful experience.

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AWS Machine Learning Blog

FEBRUARY 7, 2025

CONXAI Technology GmbH is pioneering the development of an advanced AI platform for the Architecture, Engineering, and Construction (AEC) industry. Our platform uses advanced AI to empower construction domain experts to create complex use cases efficiently. These camera feeds can be analyzed using AI to extract valuable insights.

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Analytics Analytics AWS Clustering 66

AWS Machine Learning Blog

NOVEMBER 25, 2024

Solution overview SageMaker JumpStart provides FMs through two primary interfaces: Amazon SageMaker Studio and the SageMaker Python SDK. Alternatively, you can use the SageMaker Python SDK to programmatically access and use JumpStart models. With SageMaker, you can streamline the entire model deployment process. Deploy Meta Llama 3.1

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AWS Python ML ML 101

Towards AI

JANUARY 29, 2025

Author(s): Dwaipayan Bandyopadhyay Originally published on Towards AI. Source : Image by Author In todays AI World, where large amounts of structured and unstructured data are generated daily, accurately using knowledge has become the cornerstone of modern-day technology. What is MongoDB Atlas?

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Database Clustering Python SQL 83

ODSC - Open Data Science

JUNE 18, 2025

From personalizing your Netflix queue to predicting box office hits, data science and AI are now central to how content is created, consumed, and evaluated. Use Cases: Budget-to-revenue correlation analysis, clustering movies by genre and language, and box office forecasting. Data is reshaping the entertainment industry.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

AI now plays a pivotal role in the development and evolution of the automotive sector, in which Applus+ IDIADA operates. In this post, we showcase the research process undertaken to develop a classifier for human interactions in this AI-based environment using Amazon Bedrock. This method takes a parameter, which we set to 3.

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AWS Machine Learning Blog

JUNE 30, 2025

By using generative AI through natural language prompts, architects can now generate professional diagrams in minutes rather than hours, while adhering to AWS best practices. Solution overview Amazon Q Developer CLI is a command line interface that brings the generative AI capabilities of Amazon Q directly to your terminal.

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AWS Machine Learning Blog

JULY 17, 2025

For most real-world generative AI scenarios, it’s crucial to understand whether a model is producing better outputs than a baseline or an earlier iteration. Amazon Nova LLM-as-a-Judge is designed to deliver robust, unbiased assessments of generative AI outputs across model families. Meta J1 8B – 0.42 – 0.60 – Nova Micro (8B) 0.56

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AI AI AWS Machine Learning 86

Pickl AI

FEBRUARY 2, 2025

Popular tools for implementing it include WEKA, RapidMiner, and Python libraries like mlxtend. It provides a collection of Machine Learning algorithms for data mining tasks such as classification, regression, clustering, and association rule mining. Key applications include fraud detection, customer segmentation, and medical diagnosis.

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AWS Machine Learning Blog

FEBRUARY 11, 2025

Although GraphStorm can run efficiently on single instances for small graphs, it truly shines when scaling to enterprise-level graphs in distributed mode using a cluster of Amazon Elastic Compute Cloud (Amazon EC2) instances or Amazon SageMaker. Today, AWS AI released GraphStorm v0.4. billion edges after adding reverse edges.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

In the rapidly evolving landscape of AI, generative models have emerged as a transformative technology, empowering users to explore new frontiers of creativity and problem-solving. By fine-tuning a generative AI model like Meta Llama 3.2 For a detailed walkthrough on fine-tuning the Meta Llama 3.2 Meta Llama 3.2 All Meta Llama 3.2

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AWS Machine Learning Blog

MAY 14, 2025

Business use case After its public release, DeepSeek-R1 model, developed by DeepSeek AI , showed impressive results across multiple evaluation benchmarks. To learn more details about these service features, refer to Generative AI foundation model training on Amazon SageMaker.

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