Bedrock

There is a rhythm to a Peter DeSantis keynote.
You sit down expecting a product announcement, and you end up holding a degree-level lecture on why the future of AI rests on the parts nobody sees. This morning at reInvent was exactly that. A full room, a quiet intro, then straight across the boundary between computer science, silicon strategy, and the economics of AI.

It is Day 3 at re:Invent and today belonged to a single idea. Agents.
Not chatbots. Not prompt wrappers. Real agentic systems with identity, memory, reasoning and policy that you can trust in production.
Swami Sivasubramanian walked onto the stage and delivered a keynote focused entirely on the future of building with AI.

If you’re into your Machine Learning/Artificial Intelligence/Generative AI and have been living under a rock, it may be news to you that Anthropic have now released their latest version of the Claude Large Language Model (LLM), which they have predictively named, Claude 3. But what’s not so predictable is that not only is this the third generation of Claude, but there are also three different variations of Claude.

In this post, we’re going to explore the creation of a basic, serverless, image cataloguing application using Claude 3 and explore how it enhances the functionality of our AI photo album application. Powered by Amazon Bedrock, this application leverages the poetic prowess of Claude 3 Haiku to provide insightful summaries of uploaded images.