ODSC - Open Data Science

APRIL 17, 2023

DevSecOps includes all the characteristics of DevOps, such as faster deployment, automated pipelines for build and deployment, extensive testing, etc., In addition to these capabilities, DevSecOps provides tools for automating best security practices. DevSecOps has emerged as a promising approach to address the above challenges.

Data Science 97

Data Science DevOps Deep Learning Automation 97

AWS Machine Learning Blog

JULY 11, 2024

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After being configured, an agent builds the prompt and augments it with your company-specific information to provide responses back to the user in natural language. He holds an MS degree in Computer Science.

Data Ingestion 126

Data Ingestion DevOps Prompt Engineer Prompt Engineering 126

AWS Machine Learning Blog

NOVEMBER 19, 2024

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

ML 85

ML Generative AI AI AI 85

AWS Machine Learning Blog

AUGUST 26, 2024

The rise of foundation models (FMs), and the fascinating world of generative AI that we live in, is incredibly exciting and opens doors to imagine and build what wasn’t previously possible. He is passionate about building home automation and AI/ML solutions. Generate the ASL avatar video from the ASL gloss.

Generative AI 113

Generative AI DevOps AI AI 113

AWS Machine Learning Blog

AUGUST 1, 2024

In the next section, we explore how generative AI and Amazon Bedrock can help insurers overcome these challenges and streamline the underwriting process through intelligent document understanding and automation. Amazon Bedrock simplifies the deployment, scaling, implementation, and management of generative AI models for insurers.

Generative AI 116

Generative AI Natural Language Processing Machine Learning AI 116

ODSC - Open Data Science

DECEMBER 1, 2023

Over the course of 3+ hours, you’ll learn How to take your machine learning model from experimentation to production How to automate your machine learning workflows by using GitHub Actions.

Data Science 52

Data Science DevOps Machine Learning Large Language Models 52

AWS Machine Learning Blog

JULY 18, 2024

streamlined the analysis of over 70,000 vulnerabilities, automating a process that would have been nearly impossible to accomplish manually. has been at the forefront of integrating AI and machine learning (ML) capabilities into its operations. By using the power of large language models (LLMs), Mend.io

Generative AI 110

Generative AI Automation Categorization Software Architect 110

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MARCH 5, 2025

Scaling ground truth generation with a pipeline To automate ground truth generation, we provide a serverless batch pipeline architecture, shown in the following figure. The serverless batch pipeline architecture we presented offers a scalable solution for automating this process across large enterprise knowledge bases. 201% $12.2B

Generative AI 75

Generative AI LLM AI AI 75

AWS Machine Learning Blog

JULY 25, 2024

The following are some common pain points in developing conversational AI agents: Testing an agent is often tedious and repetitive, requiring a human in the loop to validate the semantics meaning of the responses from the agent, as shown in the following figure. Bobby Lindsey is a Machine Learning Specialist at Amazon Web Services.

Conversational AI 123

Conversational AI Machine Learning AI AI 123

AWS Machine Learning Blog

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 63

Generative AI Prompt Engineer Prompt Engineering AI 63

Pickl AI

APRIL 27, 2023

For example, how can we maximize business value on the current AI activities? How can automation transform the business, optimizing resources and driving innovative measures to make business more competitive? Hence, introducing the concept of responsible AI has become significant. Wrapping it up !!!

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Python 52

ODSC - Open Data Science

JULY 19, 2023

The data science team is now expected to be equipped with CI/CD skills to sustain ongoing inference with retraining cycles and automated redeployments of models. Responsible AI: Though these form part of the regular Azure ML workspace, we now include these components as a step that can be reviewed by a human. These include: 1.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

Heartbeat

FEBRUARY 29, 2024

Furthermore, the software development process has evolved to embrace Agile methodologies, DevOps practices, and continuous integration/continuous delivery (CI/CD) pipelines. These tools have evolved to support the demands of modern software engineering, offering features like real-time collaboration, code analysis, and automated testing.

Software Engineer 52

Software Engineer Software Development Large Language Models LLM 52

AWS Machine Learning Blog

NOVEMBER 29, 2023

An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. With these tools in hand, the next challenge is to integrate LLM evaluation into the Machine Learning and Operation (MLOps) lifecycle to achieve automation and scalability in the process.

LLM 99

LLM Data Scientist Algorithm Generative AI 99

The MLOps Blog

MARCH 21, 2023

Automation You want the ML models to keep running in a healthy state without the data scientists incurring much overhead in moving them across the different lifecycle phases. Automation is a good MLOps practice for speeding up all parts of that lifecycle. This would let you roll back changes and inspect potentially buggy code.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

Unite.AI

NOVEMBER 21, 2024

Archana Joshi brings over 24 years of experience in the IT services industry, with expertise in AI (including generative AI), Agile and DevOps methodologies, and green software initiatives. They support us by providing valuable insights, automating tasks and keeping us aligned with our strategic goals.

DevOps 144

DevOps Automation Responsible AI Software Development 144