IBM Journey to AI blog

DECEMBER 19, 2023

This post expands on the topic and provides a maturity model and building blocks that help enterprises accelerate their software supply chain lifecycle in the ever-evolving landscape of enterprise cloud-native software development. We recommend a 4-stage roadmap for implementation, as shown in the figure below.

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AWS Machine Learning Blog

APRIL 8, 2024

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. Intelligent search for software developers – This allows developers to look for information of a specific release. Metadata can be string, number, or Boolean. Virginia) and US West (Oregon).

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AWS Machine Learning Blog

JUNE 8, 2023

You can replace ECR_IMAGE_ID with any of the image tags available in the Amazon ECR Public Gallery , or choose the latest-gpu tag if you are using a machine that supports GPU. Ketan Vijayvargiya is a Senior Software Development Engineer in Amazon Web Services (AWS). AWS_ECR_REPOSITORY_REGION}.amazonaws.com

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AssemblyAI

DECEMBER 18, 2023

  Instead, developers could use Speech-to-Text and Audio Intelligence to identify the different topics discussed in course videos and include those topics as tags in the course metadata. A basic search system might match queries to course titles or descriptions. 

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AWS Machine Learning Blog

MAY 5, 2023

Although articles of clothing are labeled with categories (and subcategories) and contain a variety of helpful tags that are extracted from the original product descriptions, the data is not systematically labeled with pattern or style information. It’s an established and well-cited dataset, but it isn’t directly suited for your use case.

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Metadata Computer Vision Machine Learning Data Scientist 76

AWS Machine Learning Blog

OCTOBER 2, 2023

Solution overview The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which could be deployed as part of a manufacturing process. With a passion for automation, Joerg has worked as a software developer, DevOps engineer, and Site Reliability Engineer in his pre-AWS life.

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Automation DevOps Machine Learning Metadata 93

Snorkel AI

JUNE 12, 2023

The Snorkel team’s mission over the last eight-plus years has been to make AI data development first-class and programmatic so that it can look more like an afternoon of software development than months of outsourced manual annotation. classification, tagging, extraction).

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Snorkel AI

JUNE 12, 2023

The Snorkel team’s mission over the last eight-plus years has been to make AI data development first-class and programmatic so that it can look more like an afternoon of software development than months of outsourced manual annotation. classification, tagging, extraction).

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Data Platform Large Language Models Software Development ChatGPT 141

AWS Machine Learning Blog

OCTOBER 11, 2023

Configure optional encryption settings and tags. For Provisioning editions , select Developer edition and choose Next. Solutions Architect with over 20 years of experience in the software industry. Gunwant Walbe is a Software Development Engineer at Amazon Web Services. Enter an optional description. Choose Next.

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Metadata ML Software Development Machine Learning 94

AWS Machine Learning Blog

OCTOBER 2, 2023

The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which you can deploy as part of a manufacturing process. In a production setting, you can decide to automatically notify another system that takes care of removing faulty metal tags from the production line.

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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. For Version title , choose 1.0. Choose Review.

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ML Automation Metadata Software Development 101

AWS Machine Learning Blog

APRIL 22, 2024

Add any optional tags, then choose Next. Monidipa Chakraborty currently serves as a Senior Software Development Engineer at Amazon Web Services (AWS), specifically within the SageMaker HyperPod team. Satish Pasumarthi is a Software Developer at Amazon Web Services. server FQDN or YOUR name) []: nlb-ds-abcd1234.elb.region.amazonaws.com

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The MLOps Blog

NOVEMBER 30, 2022

The model development team finds it difficult to log which dataset was used for which model version Is Git the solution for versioning ML models? Git is a great tool that supports code versioning and collaboration across traditional software development. But it is not built with machine learning models in mind.

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AWS Machine Learning Blog

APRIL 18, 2023

Configure optional encryption settings and tags Choose Next In the Configure user access control section, select Yes under Access control settings. Supratim Barat is a Software Developer Engineer with AWS Kendra Yellowbadge Team and is a blockchain and cyber security enthusiast Enter an optional description.

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Machine Learning Software Development ML Artificial Intelligence 71

Mlearning.ai

JULY 17, 2023

Updating a neural net model originally trained on a previous set of tagged data (supervised learning) always degrades previous learning, because retraining and/or updating the artificial neural network via exposing it to new tagged data will change the weights on the hidden layers during backpropagation.

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Neural Network Convolutional Neural Networks Machine Learning Data Scientist 52

Heartbeat

FEBRUARY 8, 2023

R Source: i2tutorials Statisticians developed R as a tool for statistical computing. R is frequently used for statistical software development, data analysis, and data visualisation because it can handle large data sets with ease. It includes tokenization, part-of-speech tagging, and named entity recognition functions.

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Unite.AI

AUGUST 1, 2023

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry.

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Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

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

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AWS Machine Learning Blog

OCTOBER 2, 2023

Use case: Inspecting the quality of metal tags As an ML engineer, it’s important to understand the business case you are working on. Imagine a production line of a manufacturer that engraves metal tags to create customized luggage tags. To make this process more efficient, we use ML to detect faulty tags early in the process.

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IBM Journey to AI blog

MARCH 22, 2024

Quality Assurance (QA) is a critical component of the software development lifecycle, aiming to ensure that software products meet specified quality standards before release. QA encompasses a systematic and strategic approach to identifying, preventing and resolving issues throughout the development process.

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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. Can have tags for tracking attributes (e.g., Example: “task” tag for identifying question-answering models.

Machine Learning 52

Machine Learning ML Automation Data Scientist 52

How to Learn Machine Learning

JANUARY 21, 2023

You should also use software development tools that allow you to easily debug and adjust your code as you go. Next, you need to write the code that will power the chatbot. This is the most challenging part of the project, as it requires knowledge of programming and a solid understanding of AI principles.

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Artificial Intelligence Artificial Intelligence Natural Language Processing NLP 52

AWS Machine Learning Blog

MAY 21, 2024

The core work of developing a news story revolves around researching, writing, and editing the article. However, when the article is complete, supporting information and metadata must be defined, such as an article summary, categories, tags, and related articles. Bertrand d’Aure is a software developer at 20 Minutes.

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Generative AI Automation Prompt Engineer Prompt Engineering 97

IBM Journey to AI blog

JANUARY 26, 2024

Our team announced different product capabilities designed to simplify your teams’ ability to observe, debug, remediate and enhance your entire stack—integrating observability practices and telemetry data seamlessly into your entire software development lifecycle.

Automation 223

Automation DevOps Software Development Artificial Intelligence 223

Unite.AI

FEBRUARY 22, 2024

With its emphasis on customization and ease of use, Formaloo is redefining how businesses approach CRM and customer engagement software development. Customization is a key aspect, with the ability to tailor the system to specific business needs by modifying data fields, adding tags, and creating custom sales processes.

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AWS Machine Learning Blog

JANUARY 9, 2024

In a channel, users can ask it questions in a new message, or tag it in an existing thread at any point, to provide additional data points, resolve a debate, or summarize the conversation and capture the next steps. About the Authors Gary Benattar is a Senior Software Development Manager in AWS HR.

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Software Engineer Metadata Software Development Generative AI 108

Flipboard

DECEMBER 6, 2023

The XML tags were used to frame the instructions, additional hints, database schema, additional table explanations, and example rows. """Human: You are a SQL expert. Stanislav Yeshchenko is a Software Architect at Q4 Inc. He has over a decade of industry experience in software development and system architecture.

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Chatbots LLM Prompt Engineer Prompt Engineering 130

PyImageSearch

JANUARY 1, 2024

Gemini Pro is now available in Bard through the MakerSuite UI and their Python Software Development Kit (SDK). This browser-based integrated development environment (IDE) specializes in prototyping with generative models, enabling swift experimentation with diverse prompts.

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Computer Vision Deep Learning Python Natural Language Processing 114

Chatbots Life

SEPTEMBER 11, 2023

Additionally, the article discusses the real-world implications of these tools across diverse fields, including academic writing, content creation, and software development. TextBlob is a versatile Python library that offers a comprehensive suite of features for processing textual data.

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NLP Natural Language Processing Python Algorithm 59

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.

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Data Ingestion Metadata NLP Data Scientist 110

IBM Journey to AI blog

JANUARY 26, 2024

Our team announced different product capabilities designed to simplify your teams’ ability to observe, debug, remediate and enhance your entire stack—integrating observability practices and telemetry data seamlessly into your entire software development lifecycle.

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Automation DevOps Software Development Artificial Intelligence 112

AWS Machine Learning Blog

NOVEMBER 30, 2023

Provider a cluster name and optionally any tags to apply to cluster resources, then choose Next. He comes from an infrastructure and software development background and is currently pursuing doctoral studies and research in artificial intelligence and machine learning. Choose Create a cluster.

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Auto-complete Machine Learning Generative AI Software Engineer 111

AWS Machine Learning Blog

MAY 31, 2023

docker tag mlp_trainium:latest {your-account-id}.dkr.ecr.us-east-1.amazonaws.com/mlp_trainium:latest He has more than 15 years working with technology, from software development, infrastructure, serverless, to machine learning. your-region}.amazonaws.com amazonaws.com docker build -t mlp_trainium. your-region}.amazonaws.com/{your-ecr-repo-name}:latest

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AWS Machine Learning Blog

APRIL 17, 2023

It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, and wrappers for industrial-strength natural language processing (NLP) libraries.

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Python ML Machine Learning Natural Language Processing 84

The MLOps Blog

AUGUST 4, 2023

Machine learning monorepo | Source: Author A monorepo (short for monolithic repository) is a software development strategy where code for many projects is stored in the same repository. michaloleszak/mnist:latest + 1 additional tag. Strap in as we embark on this journey to streamline your ML project management.

ML 52

ML Machine Learning Python Software Engineer 52

AWS Machine Learning Blog

APRIL 25, 2023

Infrastructure settings cover the network configuration, IAM roles, Amazon Simple Storage Service (Amazon S3) folder for input, output data, and tags. About the Authors Dipankar Patro is a Software Development Engineer at AWS SageMaker, innovating and building MLOps solutions to help customers adopt AI/ML solutions at scale.

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Machine Learning Data Scientist Python ML 79

Marktechpost

JULY 17, 2023

Synthetic datasets are sometimes superior to real-world data since they are automatically tagged and can purposefully include uncommon but critical corner situations. List of synthetic data startups and companies Datagen Israeli firm Datagen was founded in 2018 and has funded $22 million, including an $18.5

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Machine Learning Data Scientist Computer Vision Deep Learning 52