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 …
Using Amazon Rekognition to improve bicycle safety Read More »
39 students in Ireland from underrepresented backgrounds have been awarded scholarships to study STEM courses, with Google.org support.
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 …
Securing DeepSeek and other AI systems with Microsoft Security Read More »
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 …
Build a dynamic, role-based AI agent using Amazon Bedrock inline agents Read More »
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 …
Here’s how Google built the I/O 2025 puzzle save the date, including a Gemini integration.
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 …
Fine-tune LLMs with synthetic data for context-based Q&A using Amazon Bedrock Read More »
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 …
Achieve ~2x speed-up in LLM inference with Medusa-1 on Amazon SageMaker AI Read More »
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 …
LLM-as-a-judge on Amazon Bedrock Model Evaluation Read More »
Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. However, the journey from a proof of concept to a production-ready application comes with challenges and opportunities. Moving from proof of concept to production is about creating scalable, reliable, and impactful solutions that can drive …
