Announcing recipients of the Google.org AI Opportunity Fund: Europe
Google.org announced the 80 organizations that will receive funding and support from the AI Opportunity Fund: Europe to help 20,000 people learn AI skills.
Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q
In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. In this post, we explore how you can use Amazon …
Automate Q&A email responses with Amazon Bedrock Knowledge Bases
Email remains a vital communication channel for business customers, especially in HR, where responding to inquiries can use up staff resources and cause delays. The extensive knowledge required can make it overwhelming to respond to email inquiries manually. In the future, high automation will play a crucial role in this domain. Using generative AI allows …
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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock
Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries. The relevance of this context directly impacts the …
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Embedding secure generative AI in mission-critical public safety applications
This post is co-written with Lawrence Zorio III from Mark43. Public safety organizations face the challenge of accessing and analyzing vast amounts of data quickly while maintaining strict security protocols. First responders need immediate access to relevant data across multiple systems, while command staff require rapid insights for operational decisions. Mission-critical public safety applications require …
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How FP8 boosts LLM training by 18% on Amazon SageMaker P5 instances
Large language models (LLMs) are AI systems trained on vast amounts of text data, enabling them to understand, generate, and reason with natural language in highly capable and flexible ways. LLM training has seen remarkable advances in recent years, with organizations pushing the boundaries of what’s possible in terms of model size, performance, and efficiency. …
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8 impressions from co-creating the sounds of the future
Google is releasing a report on music AI technology insights from co-creation sessions with artists, musicians and producers.
5 ways Gemini Live can make your workday easier
Whether you need help perfecting a presentation or practising a tough talk with your boss, here’s how Gemini Live can step in to help.
Racing into the future: How AWS DeepRacer fueled my AI and ML journey
In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale race car driven by reinforcement learning. At the time, I knew little about AI or machine learning (ML). As an engineer transitioning from legacy networks to cloud technologies, I had never considered myself a developer. …
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Your guide to generative AI and ML at AWS re:Invent 2024
The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences …
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