Build Applications Powered by Large Language Models using LangChain

In this workshop you will learn how to build applications on top of Large Language Models (LLMs) to power generative AI applications that can deliver real business outcomes. We will be using LangChain, a development framework for building applications leveraging the power of LLMs, to create a simple application that automates an entire business process. This session will go beyond the generative AI hype and show you practical ways to use this new technology within your business.

Things you will learn in this session:
- How to safely use LLMs and Generative AI at your company
- An introduction to LangChain and its different models
- A step-by-step instruction to using LangChain to build an application
- Example use cases for taking the next step with your new skills

Build a Conversational AI Center of Excellence

Does your company want to use Conversational AI to create self-service experiences for your customers or internal employees? Or, does your company already use Conversational AI, but struggles to take advantage of its full potential? In this session Chris Morgan Brown, a Principal Consultant at Amazon Web Services will talk through how to build a Conversational AI Center of Excellence at your company, including: Program Governance, the key roles you will need on your team, the methodologies to be followed, and the work cadences needed to realize your company’s Conversational AI vision.

Using Large Language Models and Generative AI to Drive Business Outcomes

You almost can’t turn on the news these days without hearing about GPTs, Large Language Models (LLMs), and how artificial intelligence is finally having its moment. As a business person, this might leave you wondering how to incorporate these new technologies into your business to drive meaningful and safe outcomes. Join us during this session as we discuss meaningful ways to use generative AI in your business to transform your company.

Intended for a business focused audience