AWS Machine Learning Blog

AUGUST 4, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. The endpoints are then registered to the Salesforce Data Cloud to activate predictions in Salesforce. In this post, we expand on this topic to demonstrate how to use Einstein Studio for product recommendations.

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Pickl AI

OCTOBER 19, 2023

Business leaders rely on data to identify trends target markets, and assess the performance of their products and services. Whether it’s relying on GPS navigation, reading product reviews, or assessing the reliability of news sources, accurate and trustworthy data influences our decisions.

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AWS Machine Learning Blog

JANUARY 6, 2023

In Part 1 , we discussed the applications of GNNs and how to transform and prepare our IMDb data into a knowledge graph (KG). This event frequently occurs in video streaming platforms that constantly purchase a variety of content from multiple vendors and production companies for a limited time.

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Alation

JANUARY 25, 2022

A data fabric utilizes continuous analytics over existing, discoverable, and inferred metadata assets to support the design, deployment, and utilization of integrated and reusable data across all environments, including hybrid and multi-cloud platforms.” Data Catalog: To access and represent all metadata types.

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Alation

AUGUST 11, 2022

We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases. Mitesh Shah, VP, Product Marketing, Alation: Data fabric, data mesh, modern data stack. I recently had the opportunity to connect with Mohan at Snowflake Summit 2022 in Las Vegas.

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The MLOps Blog

MAY 10, 2023

It is crucial to save, store, and package these models for their future use and deployment to production. But you must be aware that save is a single action and gives only a model binary file, so you still need code to make your ML application production-ready. into a single deployable package. h5), the TensorFlow SavedModel format (.pb),

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DagsHub

APRIL 21, 2024

Source: [link] Similarly, while building any machine learning-based product or service, training and evaluating the model on a few real-world samples does not necessarily mean the end of your responsibilities. There is only one way to identify the data drift, by continuously monitoring your models in production. What is MLOps?

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PyImageSearch

AUGUST 7, 2023

Incorporating LinkedIn’s social graph in recommendations is another important aspect, as members often find updates shared, liked, or commented on by their connections relevant. One of the important FPRs is “activities from your network,” which includes shares from people and companies that members follow.

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The MLOps Blog

JUNE 27, 2023

Active user community and future roadmap Consider a tool that has a strong and active community of users and developers who can provide feedback, insights, and best practices. This allows you to leverage your preferred ML tools and access a wide range of resources, enhancing productivity and enabling the use of cutting-edge techniques.

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Heartbeat

MARCH 28, 2023

Gradio Gradio (Image by Author) Deep learning projects that are not moved to production are dead projects. Note that we used some hyperparameters such as filter size, number of neurons, and activation function. We’re going to use Comet ML to track our hyperparameters and to monitor our model. Nice, we created a CNN-based model.

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Cambridge Intelligence

FEBRUARY 15, 2024

Graph visualization (link analysis) and ‘pattern-of-life’ timelines are essential for compliance because they put users in control of the investigation, giving them an intuitive way to navigate and organize the information they’re exploring. Which items should appear as linked nodes, and which should display as metadata for an existing node?

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Alation

MAY 24, 2022

Additionally, a set of key features will accelerate data governance and simplify the security of sensitive metadata. SmartSuggestions — In Compose, Alation’s SQL editor, AI-powered suggestions actively show query writers relevant data to use as they query. In the latest release of Alation, 2022.2, Our Data Quality Journey.

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phData

AUGUST 17, 2023

Orchestration tools can solve the difficulty of keeping dependent tasks in sync, empowering data engineers to streamline their processes, enhance productivity, and unlock the full potential of Snowflake. Data Governance and Compliance Orchestration tools can facilitate metadata management, which is vital for effective data governance.

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DagsHub

DECEMBER 5, 2023

Moreover, additional complexity arises when we potentially need to reproduce the best-performing experiment before putting it into production. Experiment tracking tools enable us to log experiment metadata, such as hyperparameters, dataset/code versions, and model performance metrics. loss and accuracy) or model graphs.

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IBM Journey to AI blog

AUGUST 7, 2023

For instance, in response to sustainability trends, product manufacturers may need to prove the carbon footprint of their products to regulators and clients. By doing so, it not only serves as a safeguard against potential disputes and fraudulent activities, but also fosters an environment of trust and reliability.

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DagsHub

APRIL 7, 2024

It is much easier and faster to move the ML project to the production phase. Miscellaneous Workflows are created as directed acyclic graphs (DAGs). UI: Activities can be tracked and monitored via both the self-hosted instance and the managed dashboard. to provide a simple path to getting your ML model into production.

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AWS Machine Learning Blog

MARCH 1, 2023

In other words, these activities can be planned and run based on the forecasted LTV, which determines the players’ values through their lifetime in the game. Statistical methods and machine learning (ML) methods are actively developed and adopted to maximize the LTV. However, this approach is reactive.

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Alation

MARCH 1, 2022

Users can now manually add and enrich the lineage graph through the user interface directly. This ability to add more nuanced data objects to the lineage graph represents a major benefit for all users, as these features enhance the level of control and insight for the Alation user community. Deep connectivity is the answer. In 2022.1,

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phData

FEBRUARY 6, 2024

The dbt build command will first run and then test your resources immediately, including models, seeds, snapshots, and tests, in a directed acyclic graph (DAG) order. To summarize, when utilizing pipelines that run with automation, things like CI/CD or production refreshes, you will likely want to use dbt build. As of dbt 1.7,

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AWS Machine Learning Blog

JUNE 14, 2023

They also have a lot of processes that need to be adhered to before promoting a model to production. You then can directly deploy the model to production with just one click or iterate on the recommended solutions to further improve the model quality. Projects are provisioned using AWS Service Catalog products.

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PyImageSearch

DECEMBER 26, 2022

The system consists of many learnable knobs (weights and biases) and a simple operation (dot product). When wrapped inside the Value class, the scalar value is considered a Node of a Graph. When we use Value s and build an equation, the equation is considered a Directed Acyclic Graph (DAG). dx/da = dy/dx. (0

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Pickl AI

MAY 15, 2023

It requires different techniques and activities including organising, analysing and extraction of valuable information. From production processes involving quality control to supply chain management, inventory tracking and equipment maintenance, all requires data processing.

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AWS Machine Learning Blog

MARCH 2, 2023

This project is built following the principles of the Do Framework : simplicity, intuitiveness, and productivity. Check the active CloudFormation stacks to see if stack deletion has failed. A desired cluster can simply be configured using the eks.conf file and launched by running the eks-create.sh 4 and weight decay of 8.5e-3.

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Hacker News

JANUARY 9, 2024

including the new “ Computational Adventures ” weekly activity program. So that’s an area where we need to go to primary sources (in this case typically the original producers of products) and curate everything for ourselves. For more than 30 years we’ve had “ guide pages ” that summarize specific functionality in particular areas.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

Model consumers or model deployers serve and monitor general purpose or fine-tuned models in production, aiming to enhance their applications or services through the adoption of LLMs. Model evaluation techniques are still an active field of research. The following diagram illustrates this architecture.

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AWS Machine Learning Blog

MARCH 6, 2023

LLM training data preparation is an active area of research and innovation in the LLM industry. FSx for Lustre uses distributed file storage (stripping) and physically separates file metadata from file content to achieve high-performance read/writes. 24xlarge for training job usage 0 ml.p4d.24xlarge

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DrivenData Labs

DECEMBER 10, 2023

A research assistant product that incorporates multiple features in a single platform would likely be appealing to NASA researchers. Currently, he is instrumental in designing and implementing GenAI solutions for both ZS clients and products. With a well-defined idea in hand, we enthusiastically moved on to planning the product.

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AWS Machine Learning Blog

JANUARY 25, 2024

If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account? For ContextDaysToLive , enter the length of time to keep conversation metadata cached in Amazon DynamoDB (you can leave this as the default). Choose Microsoft Graph. Use real ones for production. Choose Add a permission.

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The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. Machine learning platforms are increasingly looking to be the “fix” to successfully consolidate all the components of MLOps from development to production.

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phData

JULY 18, 2023

As an AI and data analytics consulting company, phData is on a mission to become the world leader in delivering data services and products on a modern data platform. Transparent Model Lineage: The creation of a directed acyclic graph makes model lineage extremely clear, allowing for a better understanding of the data transformation process.

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