Diving Deep in GenAI
AWS AI Messaging
Internal help
Obscure facts
100

This is the feature that helps customers evaluate FMs

What is model evaluator?

100

The number of years AWS has been using AI/ML

What is 25 years?

100

AWS internal knowledge assistant for help with general Amazonian tasks

What is Cedric?

100

Cheapest LLM on Bedrock

What is mazon Titan Text Lite?

200

This service can help with internal operations

What is Amazon Q for Business?

200

The investment in dollars that Gen AI Innovation Center has promised

What is $100M?

200

The AWS internal knowledge assistant purpose-built for field sellers

What is Field Advisor

200

Percentage of POC moved into production by 2024 (Gartner)

What is 58%?

300

This feature ensures AI security in this particular generative AI service

What are guardrails?

300
AWS' vision for gen AI

What is democratizing access to AI?

300

Places to access Field Advisor

What is Salesforce or Slack?

300

A Gartner report states that by 2026, this percentage of enterprises will have used generative AI

What is 80%?

400

The feature can execute multistep tasks

What are Bedrock Agents?

400
Messaging for being "production ready"

What is production requires an environment that is enterprise-grade, with the security reliability, privacy controls, cost-effectiveness, and scalability they know they can expect from AWS.

400

The most helpful gen AI prompt for Peter these days

What is asking Cedric to edit emails for "clarity and conciseness" and change Flesch Kincaid grade level?

400

The investment in dollars that Gen AI Innovation Center has promised

What is $100M?

500

The thing that converts words to numbers

What are embeddings / embedding models?

500

The messaging we say to customers who state that AWS is behind in generative AI

What is: 

Customer executives may start from a perception that AWS is somehow “behind” in generative AI or that our vision is unclear. You do not have to accept this assumption—in fact, it is a misconception (“we’re willing to be misunderstood for a long time”). AWS has, in fact, been thinking far ahead of other cloud providers, who are trying to catch up with uson enterprise features. Our AWS approach, driven by customer obsession, has been to think ahead to what our customers will need as the technology develops and as they move on from experimenting to actually productionizing their generative AI applications. We’re building the production-ready, enterprise-ready version of generative AI.

500

A tool to get you into the AWS Console

What is Isengard?

500

This training program is promised to train 2 million people for Gen AI by 2025

What is AI Ready?