AI’s potential to tackle the UK’s productivity puzzle
Favorite Google’s AI Works report shares how the UK can double AI usage, narrow the AI adoption gap, and boost worker productivity. View Original Source (blog.google/technology/ai/) Here.
Our new research into zebrafish brains could help us predict brain activity.
Favorite AI could one day help neuroscientists predict activity in the human brain, just like language models can predict the next word in a sentence.After more than a decade of … View Original Source (blog.google/technology/ai/) Here.
Protect sensitive data in RAG applications with Amazon Bedrock
Favorite Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. Implementing RAG-based applications requires careful attention to security, particularly when handling sensitive data. The protection of personally identifiable information (PII), protected health information (PHI), and confidential business
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Shared by AWS Machine Learning April 24, 2025
Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker
Favorite Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. Traditional keyword-based search mechanisms are often insufficient for locating relevant documents efficiently, requiring extensive manual review to extract meaningful
Read More Shared by AWS Machine Learning April 24, 2025
How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services
Favorite This post is co-written with Saibal Samaddar, Tanushree Halder, and Lokesh Joshi from Infosys Consulting. Critical insights and expertise are concentrated among thought leaders and experts across the globe. Language barriers often hinder the distribution and comprehension of this knowledge during crucial encounters. Workshops, conferences, and training sessions serve
Read More Shared by AWS Machine Learning April 23, 2025
Use Amazon Bedrock Intelligent Prompt Routing for cost and latency benefits
Favorite In December, we announced the preview availability for Amazon Bedrock Intelligent Prompt Routing, which provides a single serverless endpoint to efficiently route requests between different foundation models within the same model family. To do this, Amazon Bedrock Intelligent Prompt Routing dynamically predicts the response quality of each model for a
Read More Shared by AWS Machine Learning April 23, 2025
Accuracy evaluation framework for Amazon Q Business – Part 2
Favorite In the first post of this series, we introduced a comprehensive evaluation framework for Amazon Q Business, a fully managed Retrieval Augmented Generation (RAG) solution that uses your company’s proprietary data without the complexity of managing large language models (LLMs). The first post focused on selecting appropriate use cases,
Read More Shared by AWS Machine Learning April 23, 2025
Supercharge your LLM performance with Amazon SageMaker Large Model Inference container v15
Favorite Today, we’re excited to announce the launch of Amazon SageMaker Large Model Inference (LMI) container v15, powered by vLLM 0.8.4 with support for the vLLM V1 engine. This version now supports the latest open-source models, such as Meta’s Llama 4 models Scout and Maverick, Google’s Gemma 3, Alibaba’s Qwen,
Read More Shared by AWS Machine Learning April 23, 2025
May is Maintainer Month: Celebrating those who secure Open Source
Favorite Maintainer Month returns this May, and the Open Source Initiative (OSI) is proud to join GitHub and a global community of contributors in honoring the individuals who steward and sustain Open Source projects. In 2025, Maintainer Month enters its fourth year with a clear and urgent theme: Securing Open
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Shared by voicesofopensource April 22, 2025
Build an automated generative AI solution evaluation pipeline with Amazon Nova
Favorite Large language models (LLMs) have become integral to numerous applications across industries, ranging from enhanced customer interactions to automated business processes. Deploying these models in real-world scenarios presents significant challenges, particularly in ensuring accuracy, fairness, relevance, and mitigating hallucinations. Thorough evaluation of the performance and outputs of these models
Read More Shared by AWS Machine Learning April 22, 2025