WORKSHOPS & OFFICE HOURS

Session 1: Intro to Prompt Engineering And Bedrock text generation

  • Date & Time: Wednesday, September 11th at 4pm PT

  • Recording

Session 2: Bedrock Knowledge bases and Agents

  • Date & Time: Wednesday, September 18th at 4pm PT

  • Recording

Session 3: Open Q&A w/ AWS & Riot Games Team

  • Date & Time: Wednesday, September 25th at 8:30am PT

  • Recording

Session 4: Open Q&A w/ AWS & Riot Games Team

  • Date & Time: Wednesday, October 2nd at 4pm PT

  • Recording

More Q&A sessions may be added, stay tuned! 

RIOT GAMES RESOURCES

AWS RESOURCES

Amazon Bedrock:

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Knowledge Bases Amazon Bedrock:

Knowledge bases for Amazon Bedrock allows you to integrate proprietary information into your generative-AI applications. Using the Retrieval Augment Generation (RAG) technique, a knowledge base searches your data to find the most useful information and then uses it to answer natural language questions.

Amazon Bedrock Agents:

Agents for Amazon Bedrock offers you the ability to build and configure autonomous agents in your application. An agent helps your end-users complete actions based on organization data and user input. Agents orchestrate interactions between foundation models (FMs), data sources, software applications, and user conversations. In addition, agents automatically call APIs to take actions and invoke knowledge bases to supplement information for these actions. Developers can save weeks of development effort by integrating agents to accelerate the delivery of generative artificial intelligence (generative AI) applications.

Additional Resources:

Most of the pages linked above have a Resources tab where you can view tutorials and examples you might find useful.

AWS will provide US $100 in AWS Promotional Credits to individuals registered for this hackathon, while supplies last. Check out the details here.

  • AWS credits can be used for Amazon models such as Titan text express and features within Amazon Bedrock like Bedrock Agents and Bedrock Knowledge Bases. You are free to use third party models for the purposes of this hackathon but be aware that third party models carry a cost per 1000 input/output tokens.
COMMUNITY RESOURCES
CONNECT WITH US

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