ODSC - Open Data Science

APRIL 17, 2023

Data security is very important for organizations as they need their clients to trust them with their sensitive information. The organizations are solely responsible for protecting the entrusted data from unauthorized access and misuse. This is done to prevent the misuse of information against a particular individual or a group.

Data Science 97

Data Science DevOps Deep Learning Automation 97

AWS Machine Learning Blog

JUNE 25, 2024

As customers look to operationalize these new generative AI applications, they also need prescriptive, out-of-the-box ways to monitor the health and performance of these applications. This is helpful in gathering information that’s unavailable in metrics such as identity attribution.

DevOps 112

DevOps Machine Learning LLM Software Engineer 112

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. We used Anthropic Claude v3 Sonnet on AWS Bedrock to create an ASL gloss. Generate the ASL avatar video from the ASL gloss.

Generative AI 113

Generative AI DevOps AI AI 113

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

MARCH 5, 2025

To ensure the highest quality measurement of your question answering application against ground truth, the evaluation metrics implementation must inform ground truth curation. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

Generative AI 75

Generative AI LLM AI AI 75

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

AWS Machine Learning Blog

AUGUST 1, 2024

In this post, we discuss how to use AWS generative artificial intelligence (AI) solutions like Amazon Bedrock to improve the underwriting process, including rule validation, underwriting guidelines adherence, and decision justification. We’ve also provided an accompanying GitHub repo so you can try the solution.

Generative AI 116

Generative AI Natural Language Processing Machine Learning AI 116

AWS Machine Learning Blog

JULY 18, 2024

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, Mistral AI, 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 110

Generative AI Automation Categorization Software Architect 110

AWS Machine Learning Blog

JULY 25, 2024

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.

Conversational AI 123

Conversational AI Machine Learning AI AI 123

AWS Machine Learning Blog

DECEMBER 5, 2023

In their implementation of generative AI technology, enterprises have real concerns about data exposure and ownership of confidential information that may be sent to LLMs. This is a pillar of responsible AI and an emerging data protection and privacy requirement above and beyond basic security and legal guarantees of LLM providers.

LLM 114

LLM Generative AI AI AI 114

AWS Machine Learning Blog

FEBRUARY 1, 2024

It’s just a matter of evaluating each part of a generative AI application and applying the relevant best practices. She has a diverse background, having worked in many technical disciplines, including software development, agile leadership, and DevOps, and is an advocate for women in tech.

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering AI 129

AWS Machine Learning Blog

OCTOBER 8, 2024

After the email validation, KYC information is gathered, such as first and last name. The face match is detected using Amazon Rekognition , which offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from your images and videos. Response: Customer has requested to open an account.

Automation 103

Automation Prompt Engineer Prompt Engineering Machine Learning 103

ODSC - Open Data Science

FEBRUARY 21, 2024

These files contain metadata, current state details, and other information useful in planning and applying changes to infrastructure. This is critical especially when multiple DevOps team members are working on the configuration. Remote backend solutions usually come with enhanced security features to protect sensitive information.

DevOps 52

DevOps Data Science Metadata Machine Learning 52

Pickl AI

APRIL 27, 2023

Hence, introducing the concept of responsible AI has become significant. Responsible AI focuses on harnessing the power of Artificial Intelligence while complying with designing, developing, and deploying AI with good intentions. By adopting responsible AI, companies can positively impact the customer.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Python 52

The MLOps Blog

JUNE 27, 2023

Can you debug system information? Metadata management : Robust metadata management capabilities enable you to associate relevant information, such as dataset descriptions, annotations, preprocessing steps, and licensing details, with the datasets, facilitating better organization and understanding of the data. Can you compare images?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

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. GitHub Copilot, for instance, leverages LLMs to assist developers by suggesting code snippets, offering documentation, and providing contextual information.

Software Engineer 52

Software Engineer Software Development Large Language Models LLM 52

AWS Machine Learning Blog

NOVEMBER 29, 2023

Their potential applications span from conversational agents to content generation and information retrieval, holding the promise of revolutionizing all industries. However, harnessing this potential while ensuring the responsible and effective use of these models hinges on the critical process of LLM evaluation.

LLM 99

LLM Data Scientist Algorithm Generative AI 99

The MLOps Blog

MARCH 21, 2023

” — Isaac Vidas , Shopify’s ML Platform Lead, at Ray Summit 2022 Monitoring Monitoring is an essential DevOps practice, and MLOps should be no different. Collaboration The principles you have learned in this guide are mostly born out of DevOps principles. My Story DevOps Engineers Who they are? Model serving.

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. The evolution of AI is promising but also brings many corporate challenges, especially around ethical considerations in how we implement it.

DevOps 144

DevOps Automation Responsible AI Software Development 144

AWS Machine Learning Blog

OCTOBER 30, 2024

This collective wisdom, comprising insights and experiences accumulated by employees over time, often exists as tacit knowledge passed down informally. We then use generative AI, powered by Amazon Bedrock, to analyze and summarize the transcribed content, extracting key insights and generating comprehensive documentation.

DevOps 92

DevOps Generative AI Software Engineer Software Development 92