The Weather Company enhances MLOps with Amazon SageMaker, AWS CloudFormation, and Amazon CloudWatch

Favorite This blog post is co-written with Qaish Kanchwala  from The Weather Company. As industries begin adopting processes dependent on machine learning (ML) technologies, it is critical to establish machine learning operations (MLOps) that scale to support growth and utilization of this technology. MLOps practitioners have many options to establish

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Shared by AWS Machine Learning July 8, 2024

Introducing guardrails in Knowledge Bases for Amazon Bedrock

Favorite Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). This feature streamlines the entire RAG workflow, from ingestion to retrieval and prompt augmentation, eliminating the need for custom

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Shared by AWS Machine Learning July 3, 2024

Medical content creation in the age of generative AI

Favorite Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Today, LLMs are being used in real settings by companies, including the heavily-regulated healthcare and life sciences industry (HCLS). The

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Shared by AWS Machine Learning July 3, 2024

Create an end-to-end serverless digital assistant for semantic search with Amazon Bedrock

Favorite With the rise of generative artificial intelligence (AI), an increasing number of organizations use digital assistants to have their end-users ask domain-specific questions, using Retrieval Augmented Generation (RAG) over their enterprise data sources. As organizations transition from proofs of concept to production workloads, they establish objectives to run and

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Shared by AWS Machine Learning July 2, 2024

Accenture creates a custom memory-persistent conversational user experience using Amazon Q Business

Favorite Traditionally, finding relevant information from documents has been a time-consuming and often frustrating process. Manually sifting through pages upon pages of text, searching for specific details, and synthesizing the information into coherent summaries can be a daunting task. This inefficiency not only hinders productivity but also increases the risk

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Shared by AWS Machine Learning July 2, 2024