Advanced Flood Hub features for aid organizations and governments
An overview of our latest expert tools in Flood Hub and our partnerships to support vulnerable communities.
Using Amazon Rekognition to improve bicycle safety
Cycling is a fun way to stay fit, enjoy nature, and connect with friends and acquaintances. However, riding is becoming increasingly dangerous, especially in situations where cyclists and cars share the road. According to the NHTSA, in the United States an average of 883 people on bicycles are killed in traffic crashes, with an average …
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Taoiseach visits Google to celebrate the future of Ireland’s tech talent
39 students in Ireland from underrepresented backgrounds have been awarded scholarships to study STEM courses, with Google.org support.
Securing DeepSeek and other AI systems with Microsoft Security
A successful AI transformation starts with a strong security foundation. With a rapid increase in AI development and adoption, organizations need visibility into their emerging AI apps and tools. Microsoft Security provides threat protection, posture management, data security, compliance, and governance to secure AI applications that you build and use. These capabilities can also be …
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Build a dynamic, role-based AI agent using Amazon Bedrock inline agents
AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. We are seeing Amazon Bedrock Agents applied in investment research, insurance claims processing, root cause analysis, advertising campaigns, and much more. Agents use the reasoning capability of foundation models (FMs) to break down …
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Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock
In this post, we discuss what embeddings are, show how to practically use language embeddings, and explore how to use them to add functionality such as zero-shot classification and semantic search. We then use Amazon Bedrock and language embeddings to add these features to a really simple syndication (RSS) aggregator application. Amazon Bedrock is a …
How Gemini added a new dimension to our I/O 2025 save the date puzzle
Here’s how Google built the I/O 2025 puzzle save the date, including a Gemini integration.
Fine-tune LLMs with synthetic data for context-based Q&A using Amazon Bedrock
There’s a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large language models (LLMs) through approaches like Retrieval Augmented Generation (RAG). However, for advanced, domain-specific tasks or those requiring specific formats, model customization techniques such as fine-tuning are sometimes necessary. Amazon Bedrock provides you with the …
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Achieve ~2x speed-up in LLM inference with Medusa-1 on Amazon SageMaker AI
This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com. Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Trained on broad, generic datasets spanning a wide range of topics and domains, LLMs use their parametric knowledge to …
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LLM-as-a-judge on Amazon Bedrock Model Evaluation
The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation process. This approach allows organizations to …
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