AWS Machine Learning Blog

JULY 6, 2023

The open-source Custom Connector SDK enables the development of a private, shared, or public connector using Python or Java. SaaS platform SDK – If the SaaS platform has an SDK (Software Development Kit), such as a Python SDK, this can be used to access data directly from a SageMaker notebook.

ML 80

ML Metadata Data Scientist ETL 80

Mlearning.ai

JULY 7, 2023

That being said, I humbly acknowledge that creating a software application is a very complex process and me not being a software developer have only explored this at a surface level. All nuances of software development remain unexplored. Storing the data and metadata correctly is critical.

OpenAI 95

OpenAI Large Language Models Software Development Metadata 95

ODSC - Open Data Science

APRIL 17, 2023

This shift in thinking has led us to DevSecOps , a novel methodology that integrates security into the software development/ MLOps process. In this case, the provenance of the collected data is analyzed and the metadata is logged for future audit purposes.

Data Science 97

Data Science DevOps Deep Learning Automation 97

AWS Machine Learning Blog

JANUARY 10, 2024

The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust MLOps platform to work in. ML Engineer at Tiger Analytics.

ML 106

ML Machine Learning ETL Data Scientist 106

AWS Machine Learning Blog

MAY 5, 2023

update(new_tags_for_fp) # Update tags dataset.set_values("tags", tags, key_field="filepath") Looking at the data, a few things become clear: Some of the images are fairly grainy, with low resolution. get(str(annotation.get("class_id"))) confidence = metadata.get("objects")[i].get("confidence")

Metadata 80

Metadata Computer Vision Machine Learning Data Scientist 80

Pickl AI

JUNE 28, 2023

Increased Efficiency And hands work productivity is the key objective of any developer. Moreover, these tools are designed to automate tasks like generating SQL scripts, documenting metadata and others. Does it help the developer to focus more on critical aspects of their work? Thus, helping maintenance of data integrity.

Metadata 52

Metadata Data Integration Automation Software Development 52

AWS Machine Learning Blog

DECEMBER 13, 2023

It enables teams to collaborate on software development projects, track changes, and manage code repositories. It allows you to create custom workflows that automate your software development lifecycle processes, such as building, testing, and deploying code.

ML 107

ML Automation Metadata Software Development 107

AWS Machine Learning Blog

OCTOBER 27, 2023

Ragini Prasad is a Software Development Manager with the Amazon Personalize team focused on building AI-powered recommender systems at scale. With the user segmentation recipe, Amazon Personalize automatically identifies the individual users that demonstrate a propensity for the chosen items as the target audience.

Generative AI 93

Generative AI AI AI Artificial Intelligence 93

AWS Machine Learning Blog

APRIL 7, 2023

Next, using an AWS Cloud9 environment or interactive development environment (IDE) of choice, download the requisite SageMaker packages and Docker Compose , a key dependency of JumpStart. To learn more, visit SageMaker Roles. Using this example , create a file called train_model.py Instances[*].

BERT 84

BERT Metadata Natural Language Processing ML 84

AWS Machine Learning Blog

JANUARY 17, 2023

The AWS Cloud Development Kit (AWS CDK) is an open-source software development framework to create AWS CloudFormation stacks through automatic CloudFormation template generation. cdk.json – Contains metadata, and feature flags. app.py – Where the AWS CDK stack is defined. AWS CDK scripts. and sagemaker_studio_stack.py.

Software Engineer 79

Software Engineer ML Engineer ML Machine Learning 79

AWS Machine Learning Blog

OCTOBER 2, 2023

The output of a SageMaker Ground Truth labeling job is a file in JSON-lines format containing the labels and additional metadata. With a passion for automation, Joerg has worked as a software developer, DevOps engineer, and Site Reliability Engineer in his pre-AWS life.

Automation 99

Automation DevOps Machine Learning Metadata 99

Bugra Akyildiz

JUNE 11, 2023

Google built a new system called DIDACT (​​Dynamic Integrated Developer ACTivity), that trains a LLM for all of the software development activities. Libraries This repository includes datasets written by language models, used in their paper on "Discovering Language Model Behaviors with Model-Written Evaluations."

Algorithm 52

Algorithm Deep Learning Python NLP 52

deepsense.ai

JULY 30, 2023

Sketch of model-related metrics to be monitored (source: own study) Allowing engineers to do productive work instead of tedious tasks Apart from monitoring, another key concept of LLMOps is the automation of software development (or machine learning) processes. During training, we log all the model metrics and metadata automatically.

Large Language Models 76

Large Language Models LLM Machine Learning Automation 76

The MLOps Blog

JANUARY 23, 2023

Just so you know where I am coming from: I have a heavy software development background (15+ years in software). Came to ML from software. Founded two successful software services companies. Founded neptune.ai , a modular MLOps component for ML metadata store , aka “experiment tracker + model registry”.

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

AWS Machine Learning Blog

MARCH 12, 2024

Clone the GitHub project: cd ~/ && git clone [link] Navigate to the project folder to build the enclave_base Docker image that contains the Nitro Enclaves Software Development Kit (SDK) for cryptographic attestation documents from the Nitro Hypervisor (this step can take up to 15 minutes): cd /nitro_llm/enclave_base docker build./ -t

Large Language Models 96

Large Language Models LLM Chatbots Natural Language Processing 96

Towards AI

AUGUST 16, 2023

Developers would rely on it to define project metadata, dependencies, and installation instructions. ', py_modules=['my_module'], # Other metadata.) ', packages=['my_package'], install_requires=[ 'requests', 'numpy', ], # Other metadata.) Traditionally, setup.py

Python 95

Python Metadata Software Development Automation 95

The MLOps Blog

APRIL 17, 2023

Building a tool for managing experiments can help your data scientists; 1 Keep track of experiments across different projects, 2 Save experiment-related metadata, 3 Reproduce and compare results over time, 4 Share results with teammates, 5 Or push experiment outputs to downstream systems.

Metadata 52

Metadata Data Scientist Explainability ML 52

IBM Journey to AI blog

MARCH 29, 2024

Monitoring and optimizing application performance is important for software developers and enterprises at large. SDKs: Software development kits are tools for building software. They include the framework, code libraries and debuggers that are the building blocks of software development.

DevOps 221

DevOps Software Development Automation Metadata 221

The MLOps Blog

MARCH 15, 2023

In the case of our CI/CD-MLOPs system, we stored the model versions and metadata in the data storage services offered by AWS i.e Licensing costs: Oftentimes, we need third-party software libraries to power our solutions. Git is a distributed version control system for software development. S3 buckets.

ETL 52

ETL Data Drift Machine Learning ML 52

AWS Machine Learning Blog

JUNE 8, 2023

A session stores metadata and application-specific data known as session attributes. Victor Rojo is a highly experienced technologist who is passionate about the latest in AI, ML, and software development. A session persists over time unless manually stopped or timed out.

Generative AI 76

Generative AI LLM Large Language Models Machine Learning 76

AWS Machine Learning Blog

NOVEMBER 16, 2023

The platform also enables SageMaker experiment tracking, which allows end-users to log and track all the metadata associated with their ML experiments, including hyperparameters, input data, code, and model artifacts. He has over 12 years of work experience as a data scientist, machine learning practitioner, and software developer.

Data Scientist 95

Data Scientist ML Data Science Automation 95

AWS Machine Learning Blog

MAY 15, 2023

Among those algorithms, deep/neural networks are more suitable for e-commerce forecasting problems as they accept item metadata features, forward-looking features for campaign and marketing activities, and – most importantly – related time series features. She has 12 years of software development and architecture experience.

Neural Network 71

Neural Network Convolutional Neural Networks Metadata Data Scientist 71

Viso.ai

MARCH 29, 2024

MLflow is an open-source platform designed to manage the entire machine learning lifecycle, making it easier for ML Engineers, Data Scientists, Software Developers, and everyone involved in the process. Local Tracking with Database: You can use a local database to manage experiment metadata for a cleaner setup compared to local files.

Machine Learning 52

Machine Learning ML Automation Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 15, 2023

This Lambda function identifies CTR records and provides an additional processing step that outputs an enhanced transcript containing additional metadata such as queue and agent ID information, IVR identification and tagging, and how many agents (and IVRs) the customer was transferred to, all aggregated from the CTR records.

Data Ingestion 113

Data Ingestion Metadata NLP Data Scientist 113

AWS Machine Learning Blog

MARCH 17, 2023

For more information on how you can create, modify, or delete metadata and content when ingesting your data from the Microsoft Teams, refer to Customizing document metadata during the ingestion process and Enrich your content and metadata to enhance your search experience with custom document enrichment in Amazon Kendra.

Metadata 77

Metadata Software Development Machine Learning ML 77

AWS Machine Learning Blog

AUGUST 16, 2023

Software Development Engineer with Amazon Stores. client('sagemaker') # reference the name of your sample pipeline pipeline_name = "AbalonePipeline" # filter for previous success pipeline execution arns pipeline_executions = [_exec for _exec in Pipeline(name=pipeline_name).list_executions()['PipelineExecutionSummaries']

Metadata 76

Metadata Data Scientist ML Python 76

AWS Machine Learning Blog

SEPTEMBER 29, 2023

The coefficients for correcting to at-sensor reflectance are provided in the scene metadata, which further improves the consistency between images taken at different times. Access Planet data To help users get accurate and actionable data faster, Planet has also developed the Planet Software Development Kit (SDK) for Python.

Machine Learning 119

Machine Learning ML Data Scientist Python 119

AWS Machine Learning Blog

MAY 10, 2023

Now with the integration with the model registry, you can store all model artifacts, including metadata and performance metrics baselines, to a central repository and plug them into your existing model deployment CI/CD processes. Huayuan(Alice) Wu is a Software Development Engineer at Amazon SageMaker.

ML 78

ML Metadata Software Development Data Scientist 78

PyImageSearch

DECEMBER 19, 2022

DepthAI SDK DepthAI software development kit (SDK) is a wrapper over the DepthAI API. This information includes the detection network outputs and network metadata like layer names. Three XLinkOut nodes are created for RGB frames, neural network detections, and neural network metadata.

Neural Network 52

Neural Network Computer Vision Deep Learning Metadata 52

AWS Machine Learning Blog

FEBRUARY 21, 2023

SageMaker deployment guardrails Guardrails are an essential part of software development. Similar to traditional CI/CD systems, we want to automate software tests, integration testing, and production deployments. All of the metadata for these experiments can be tracked using Amazon SageMaker Experiments during development.

ML 74

ML Automation Software Development Metadata 74

The MLOps Blog

FEBRUARY 27, 2023

2 The more interesting ones are the ones that don’t have the data science teams, or sometimes they don’t even have software developers in the way that they are companies that live in the 21st century. Then we are there to help. Other questions Sabine: We’ll jump back maybe into a more technical question in a second.

Computer Vision 52

Computer Vision Auto-classification Auto-complete ML 52

AWS Machine Learning Blog

SEPTEMBER 28, 2023

It stores models, organizes model versions, captures essential metadata and artifacts such as container images, and governs the approval status of each model. Alston Chan is a Software Development Engineer at Amazon Ads. Outside of work, he enjoys game development and rock climbing.

Machine Learning 96

Machine Learning Automation ML Natural Language Processing 96

The MLOps Blog

APRIL 5, 2023

Source Model packaging is a process that involves packaging model artifacts, dependencies, configuration files, and metadata into a single format for effortless distribution, installation, and reuse. These teams may include but are not limited to data scientists, software developers, machine learning engineers, and DevOps engineers.

ML 69

ML Machine Learning Deep Learning Metadata 69

AWS Machine Learning Blog

JANUARY 9, 2024

For ContextDaysToLive , enter the length of time to keep conversation metadata cached in Amazon DynamoDB (you can leave this as the default). About the Authors Gary Benattar is a Senior Software Development Manager in AWS HR. We’d also love to hear your suggestions for improvements and features.

Software Engineer 115

Software Engineer Metadata Software Development Generative AI 115

deepsense.ai

SEPTEMBER 11, 2023

This newfound knowledge of generative AI tools will stand you in good stead in the dynamic landscape of software development. The plugin garners specific metadata about the surrounding code – the currently open file, the code snippets from neighboring tabs, the programming language, the filename, and more.

AI Developer 81

AI Developer AI Development Generative AI Software Engineer 81

AWS Machine Learning Blog

APRIL 19, 2024

of the SageMaker ACK Operators adds support for inference components , which until now were only available through the SageMaker API and the AWS Software Development Kits (SDKs). These controllers allow Kubernetes users to provision AWS resources like buckets, databases, or message queues simply by using the Kubernetes API.

Metadata 104

Metadata LLM Software Development Machine Learning 104

O'Reilly Media

JULY 25, 2023

Getting Started: Setup Trials and Tribulations Here’s the exact prompt I used to start my conversation with ChatGPT using GPT-4: Act as a software developer to help me build something that will play music from a time period that matches when an academic paper I am reading in the browser was written.

ChatGPT 98

ChatGPT UX Design AI Tools Metadata 98