DrivenData Labs

MARCH 30, 2023

PETs Prize Challenges was to advance privacy-preserving federated learning solutions that provide end-to-end privacy and security protections while harnessing the potential of AI for overcoming significant global challenges. In Phase 2: Solution Development , blue teams developed working prototypes of their solutions.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention.

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Heartbeat

SEPTEMBER 18, 2023

Data scientists and ML engineers rely heavily on these platforms because they provide the necessary resources to tackle large-scale and challenging ML problems. This key feature enables data scientists and engineers to work seamlessly with their preferred ML tools and frameworks, ensuring a familiar and efficient working environment.

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AWS Machine Learning Blog

MAY 5, 2023

To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. You can use Ground Truth and FiftyOne to accelerate your data labeling project. We add a FiftyOne classification label to each sample with the field name article_type, populated by the image’s top-level article category.

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IBM Journey to AI blog

MAY 26, 2023

Additionally, AWS security services and solutions are focused on delivering key strategic benefits critical to helping you implement your organization’s optimal security posture, as described here. The solution automates security enforcement, ensuring that when new workloads spin up, they adhere to enterprise security policies.

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Iguazio

FEBRUARY 20, 2024

This blog post will discuss: The potential impact of generative AI for financial services The challenges of deploying LLMs in production Which engineering and risk-related considerations financial services companies need to take to successfully implement gen AI in their business environments. View the entire webinar here.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Solution overview By adopting this solution, you can gain the following benefits: Improved information access – RAG allows models to pull in information from vast external sources, which can be especially useful when the pre-trained model’s knowledge is outdated or incomplete. We have provided this demo in the GitHub repo.

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AWS Machine Learning Blog

MARCH 27, 2024

In this post, we guide you through the process of fine-tuning the Amazon Titan Image Generator model to learn two new categories: Ron the dog and Smila the cat, our favorite pets. That’s why it’s good practice to check if you actually need to fine-tune your model for your use case or if prompt engineering is sufficient.

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Tableau

APRIL 22, 2021

To begin to understand the differences in COVID-19’s impact on racial groups in the US—and to develop solutions—it’s necessary to look beyond the topline numbers to disaggregated, granular, localized data that can offer a clearer, more empathetic picture of the challenges. Mitchell outlined several avenues for equitable recovery.

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phData

FEBRUARY 27, 2023

For today’s blog, we will be diving into the actual methods for implementing recommendation systems. Product recommendation systems can be divided into two main categories: Collaborative Filtering and Content-Based Filtering. What Are The Techniques Used In Recommendation Systems?

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Tableau

APRIL 22, 2021

To begin to understand the differences in COVID-19’s impact on racial groups in the US—and to develop solutions—it’s necessary to look beyond the topline numbers to disaggregated, granular, localized data that can offer a clearer, more empathetic picture of the challenges. Mitchell outlined several avenues for equitable recovery.

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Tableau 52

AWS Machine Learning Blog

OCTOBER 20, 2023

This framework can help accelerate ML adoption across the organization. This framework’s federated approach allows the central platform engineering team to set some high-level policies and standards, but also gives LOB teams flexibility to adapt based on local needs. Enterprise customers with a moderate to high maturity in ML.

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Heartbeat

JANUARY 29, 2024

For instance, in few-shot image classification, a MANN, having learned representations of different image attributes from diverse tasks, can promptly adapt to a new object category with only a handful of examples. We will import key libraries and modules to lay the foundation for building our meta-learning solution. & Drissi Y.

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AWS Machine Learning Blog

JUNE 27, 2023

This blog post is co-written with Marat Adayev and Dmitrii Evstiukhin from Provectus. Machine Learning Operations (MLOps) provides the technical solution to this issue, assisting organizations in managing, monitoring, deploying, and governing their models on a centralized platform. Endpoints had to be deployed manually as well.

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AWS Machine Learning Blog

MAY 9, 2024

The software as a service (SaaS) platform offers out-of-the-box solutions for life, annuity, employee benefits, and institutional annuity providers. Verisk has embraced this technology and has developed their own Instant Insight Engine, or AI companion, that provides an enhanced self-service capability to their FAST platform.

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AWS Machine Learning Blog

MARCH 15, 2024

However, existing solutions can often fall into two categories: rule-based systems that demand substantial time and effort for setup and upkeep, or rigid systems that lack the flexibility required for human-like interactions with customers. Solution overview The following diagram illustrates our solution architecture.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in the cloud involves a series of trade-off between resources, time, customer expectation, and business outcome. This post focuses on the Cost Optimization pillar of the IDP solution. When you’re ready for production, always monitor and analyze the spending.

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AWS Machine Learning Blog

DECEMBER 22, 2023

This blog is co-written with Josh Reini, Shayak Sen and Anupam Datta from TruEra Amazon SageMaker JumpStart provides a variety of pretrained foundation models such as Llama-2 and Mistal 7B that can be quickly deployed to an endpoint. on(Select.Record.calls[0].args.args[0]).on_output() args.args[0]).on_output() on(Select.Record.calls[0].args.args[0]).on_output()

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. The tools are typically used by data scientists and ML developers from experimentation to production deployment of AI and ML solutions. AWS position.

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The MLOps Blog

OCTOBER 3, 2023

How to transition from data analytics to MLOps engineering Piotr: Miki, you’ve been a data scientist, right? And later, an MLOps engineer. How did you manage to jump from a more analytical, scientific type of role to a more engineering one? Quite fun, quite chaotic at times. You have to follow your interests.

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AWS Machine Learning Blog

DECEMBER 1, 2023

From data collection and cleaning to feature engineering, model building, tuning, and deployment, ML projects often take months for developers to complete. These tools allow Deloitte to develop ML solutions without needing to hand-code models and pipelines. And experienced data scientists can be hard to come by.

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AWS Machine Learning Blog

APRIL 19, 2024

We use Amazon EKS and were looking for the best solution to auto scale our worker nodes. Solution overview In this section, we present a generic architecture that is similar to the one we use for our own workloads, which allows elastic deployment of models using efficient auto scaling based on custom metrics.

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The MLOps Blog

JUNE 27, 2023

MLOps landscape One of the defining characteristics of the MLOps landscape in 2023 is the coexistence of both open-source and closed-source solutions. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows. For example, neptune.ai

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AWS Machine Learning Blog

FEBRUARY 5, 2024

SageMaker geospatial capabilities make it easy for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. Loss of habitat – The degradation of natural habitats, particularly through deforestation, can accelerate zoonotic spillover events. health examines these as well.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Scale and accelerate the impact of AI There are several steps to building and deploying a foundational model (FM). These can broadly be described in two categories: Time/cost to deploy: Each deployment consists of several layers of hardware and software that need to be installed, configured and tested prior to deployment.

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AWS Machine Learning Blog

MARCH 29, 2023

Medium-density fiberboard (MDF) is an engineered wood product made by breaking down wood residuals into fibers, combining it with adhesives, and forming it into panels by applying high temperature and pressure. It has many application areas such as furniture, cabinetry, and flooring. Two types of data sources exist for this use case.

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AWS Machine Learning Blog

MARCH 1, 2023

Solution overview Amazon Comprehend is a fully managed service that uses natural language processing (NLP) to extract insights about the content of documents. MLOps focuses on the intersection of data science and data engineering in combination with existing DevOps practices to streamline model delivery across the ML development lifecycle.

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Snorkel AI

FEBRUARY 21, 2024

Through their chosen training data, data scientists and machine learning engineers can modulate the model’s response to perform better on a particular topic or task or to render responses in a particular tone. From their blog post , all you need is to add the following lines to your code to integrate PEFT into your finetuning workflow.

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Snorkel AI

FEBRUARY 21, 2024

Through their chosen training data, data scientists and machine learning engineers can modulate the model’s response to perform better on a particular topic or task or to render responses in a particular tone. From their blog post , all you need is to add the following lines to your code to integrate PEFT into your finetuning workflow.

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Alation

AUGUST 16, 2022

IDC has validated that Alation capabilities are best-in-class by granting Alation the top score in the product capabilities category. These include data analysts, stewards, business users , and data engineers. And how Alation has helped them accelerate their cloud data migration efforts. The Highest Product Capabilities Score.

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AWS Machine Learning Blog

MAY 31, 2023

Triton supports various backends as engines to power the running and serving of different framework models , like PyTorch, TensorFlow, TensorRT, or ONNX Runtime. For demonstration purposes, we use a pre-trained ResNet50 model that can classify images into 1,000 categories. 4xlarge instance). Be sure to try it out!

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AWS Machine Learning Blog

MAY 9, 2023

Amazon SageMaker provides a number of options for users who are looking for a solution to host their machine learning (ML) models. Triton supports various backends as engines to support the running and serving of various ML models for inference. Of these options, one of the key features that SageMaker provides is real-time inference.

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phData

MAY 25, 2023

Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running. One of the easiest ways for Snowflake to achieve this is to have analytics solutions query their data warehouse in real-time (also known as DirectQuery).

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Alation

AUGUST 31, 2021

In the previous blog , we discussed how Alation accelerates your journey to the Snowflake Data Cloud. In this blog, we will discuss how Alation provides a platform for data scientists and analysts to complete projects and analysis with speed. To address this issue, organizations have resorted to in-house solutions.

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AWS Machine Learning Blog

MAY 17, 2023

In this post, aimed primarily at those who are already using Snowflake, we explain how you can import both training and validation data for a facies classification task from Snowflake into Amazon SageMaker Canvas and subsequently train the model using a 3+ category prediction model. Leave Model type as 3+ category prediction.

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Alation

JANUARY 13, 2022

This approach, Thoughtworks argues, overcomes the bottlenecks and disconnects that are typical of data lake and data warehouse environments — disconnects that arise as data engineers play middle-men between data producers and consumers. These technologies are broadly categorized as data intelligence solutions. Gartner on Data Fabric.

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AWS Machine Learning Blog

MAY 2, 2023

With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models. Triton supports various backends as engines to support the running and serving of various ML models for inference. astype(str).tolist() astype("float32").tolist()

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