DevOps LLM Responsible AI 
AWS Machine Learning Blog
MARCH 27, 2024
Although much of the focus around analysis of DevOps is on distributed and cloud technologies, the mainframe still maintains a unique and powerful position, and it can use the DORA 4 metrics to further its reputation as the engine of commerce. Generative AI has the potential to lower the barrier to entry to build AI-driven organizations.
AWS Machine Learning Blog
DECEMBER 5, 2023
New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.
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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.
AWS Machine Learning Blog
MARCH 5, 2025
To scale ground truth generation and curation, you can apply a risk-based approach in conjunction with a prompt-based strategy using LLMs. Its important to note that LLM-generated ground truth isnt a substitute for use case SME involvement. To convert the source document excerpt into ground truth, we provide a base LLM prompt template.
ODSC - Open Data Science
MARCH 31, 2025
Improved Training Data : Rich metadata allows for better contextualization of extracted knowledge when creating datasets for LLM training. With deep expertise in high-performance computing and machine learning operations, he has successfully architected and deployed AI platforms that scale across global organizations.
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. For example, you can write a Logs Insights query to calculate the token usage of the various applications and users calling the large language model (LLM).
ODSC - Open Data Science
DECEMBER 1, 2023
Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models. First you’ll delve into the history of NLP, with a focus on how Transformer architecture contributed to the creation of large language models (LLMs).
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