Generative AI on Amazon Web Services

The transformative potential of generative AI cannot be overstated. With its ability to analyze large datasets, understand natural language with human-like accuracy, and create intricate content and data, it has the power to revolutionize enterprises across all domains and functions. Its potential for value creation is immense, as it can help businesses reimagine customer service, develop new products and services, and drive innovation. In this session, we will delve into AWS’ Generative AI offerings, explore applications of generative AI in industry, and understand what it means to build and scale generative AI applications on AWS.

AWS Partner, Weights and Biases will show how the leading generative AI companies leverage the W&B platform to accelerate their LLM development progress. They will also showcase W&B Prompts - a suite of prompt engineering capabilities to help organizations tune the interaction between the end user and the model.

Agenda

• 4:30 - 4:45 pm: Registration and check-in
• 4:45 - 5:00 pm: Networking
• 5:00 - 5:30 pm: Presentation : Introduction to Generative AI on AWS
• 5.30 - 6.00 pm: AWS Partner presentation: Weights & Biases - Train, Tune, and Understanding LLMs with W&B
• 6.00 - 6.30 pm: Live Demo: We will highlight several live demos on building a Generative AI application on AWS

Speakers:

Ken Lee, Machine Learning Engineering, Weights & Biases

Jana Gnanachandran, Principal Solutions Architect, AWS
Jana is a Principal Solutions Architect at AWS, partners with customers across numerous industries on strategies to increase speed and agility, drive innovation, and create new operating models using data and AI/ML for digital transformation. Alongside designing scalable, secure, and cost-effective cloud solutions, Jana conducts workshops, training sessions, and public speaking engagements on cloud best practices, architectural best practices, and data and AI/ML strategies.

Alain Krok, Senior Solutions Architect, AWS
Alain Krok is a Senior Solutions Architect at AWS, specializing in the development of reusable assets using emerging technologies to accelerate the journey of AWS's customers. With past experience in the Oil and Gas industry, he has successfully built multiple IIoT and robotics solutions, optimizing operations, enhancing safety, and driving digital transformation.

Laith Al-Saadoon, Principal Architect, AWS Prototyping and Cloud Engineering (PACE)
Laith Al-Saadoon is a Principal Architect at AWS. Laith's role in the Prototyping and Cloud Engineering (PACE) team involves driving innovation and delivering cutting-edge solutions to customers. He is a technical advisor in his organization. Laith leverages his expertise in Artificial Intelligence and Machine Learning (AI/ML) to implement scalable architectures to solve complex business problems. He provides strategic guidance, leverages emerging technologies, and fosters a culture of continuous learning in his field.

About W&B

• Weights & Biases provides ML development teams with the tools they need to build better machine learning models, faster. With a few lines of code, ML teams can track everything about their ML development lifecycle, derive insights in their models with rich visualizations, continuously refine and optimize models, and easily share their work across the organization. W&B is used by leading generative AI organizations such as OpenAI and Cohere.

Directions & Parking

• The AWS Houston office is located on the 10th floor at 825 Town and Country Lane, Suite 1000, Houston, TX 77024.
• Parking is available in the building directly connecting to 825 Town and Country lane (look for the AWS sign on top of the building). You may park in the garage and bring your parking ticket for validation.
• Please be sure to bring your identification for registration and check in.

As always, we'll have some great resources to share as well as several AWS team members to meet along with food, beverages and prizes!

We look forward to seeing everyone in the AWS Houston office.

-AWS Houston Team