Category: Generative AI

Enhance company knowledge bases with new Amazon Bedrock connectors for Confluence, Salesforce, SharePoint, and web domains – empowering RAG models with contextual data for more accurate and relevant responses.

This powerful and cost-effective model outperforms on intelligence benchmarks, with remarkable capabilities in vision, writing, customer support, analytics, and coding to revolutionize your workflows.

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.

With Amazon Polly, you can select various voice options, including neural, long-form, and generative voices, which deliver ground-breaking improvements in speech quality and produce human-like, highly expressive, and emotionally adept voices.

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). […]