Category: Amazon Machine Learning

Life is not always happy, there are difficult times. However, we can share our joys and sufferings with those we work with. The AWS Community is no exception. Jeff Barr introduced two members of the AWS community who are dealing with health issues. Farouq Mousa is an AWS Community Builder and fighting brain cancer. Allen […]

Last week, Dr. Matt Wood, VP for AI Products at Amazon Web Services (AWS), delivered the keynote at the AWS Summit Los Angeles. Matt and guest speakers shared the latest advancements in generative artificial intelligence (generative AI), developer tooling, and foundational infrastructure, showcasing how they come together to change what’s possible for builders. You can […]

Mistral Small, an efficient large language model, joins Amazon Bedrock’s lineup, excelling in low-latency tasks, multilingual support, and coding prowess while maintaining cost-effectiveness.

AWS Summit is in full swing around the world, with the most recent one being AWS Summit Singapore! Here is a sneak peek of the AWS staff and ASEAN community members at the Developer Lounge booth. It featured AWS Community speakers giving lightning talks on serverless, Amazon Elastic Kubernetes Service (Amazon EKS), security, generative AI, […]

Titan Text Premier is the latest large language model (LLM) in the Amazon Titan family of models, further increasing your model choice within Amazon Bedrock.

Amazon Bedrock Studio accelerates the development of generative AI applications by providing a rapid prototyping environment with key Amazon Bedrock features, including Knowledge Bases, Agents, and Guardrails.

Foundational models (FMs) are trained on large volumes of data and use billions of parameters. However, in order to answer customers’ questions related to domain-specific private data, they need to reference an authoritative knowledge base outside of the model’s training data sources. This is commonly achieved using a technique known as Retrieval Augmented Generation (RAG). […]

Amazon Titan foundation models (FMs) offer a comprehensive suite of pre-trained image, multimodal, and text models accessible through a fully managed API. They’re designed for a range of applications while adhering to responsible AI practices.