Workflows

Creating an AI simulation assistant using agentic workflows on Amazon Web Services

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Creating an AI simulation assistant using agentic workflows on Amazon Web Services

Simulations are vital tools for predicting outcomes, assessing risks, and making informed decisions across industries like manufacturing and healthcare. However, the process of running and analyzing simulations can be time-consuming and bottlenecked by the availability of specialized experts. To address these challenges, a generative AI-based “Simulation Assistant” demo application was developed using LangChain Agents and … Read more

Using AWS HealthOmics | Amazon Web Services to Analyze Public RNA Sequencing Data: Genomics Workflows Part 7

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Using AWS HealthOmics | Amazon Web Services to Analyze Public RNA Sequencing Data: Genomics Workflows Part 7

The blog post discusses the utilization of Amazon Web Services (AWS) by life sciences organizations for analyzing transcriptomic sequencing data using public data sets. By employing AWS HealthOmics and Step Functions, the heavy lifting associated with processing large RNA-Seq data sets is eliminated. The blog outlines a case study where research teams process RNA-Seq data … Read more

Creating AI workflows with human involvement on Amazon Web Services for generating prompts

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Creating AI workflows with human involvement on Amazon Web Services for generating prompts

Generative AI is a type of artificial intelligence that is used to create new content, including conversations, stories, images, videos, and music. It operates on the basis of large machine learning models, such as Foundation Models (FM) and Large Language Models (LLM), which are trained on vast amounts of generalized and unlabeled data. These models … Read more