In-Person Event
Building a Cloud-backed Generative
AI App in 60 Minutes
- Nov 15th, 2023 | 04:00 PM CDT
- 1871 The Merchandise Mart Plaza, Floor 12, Suite 1212, Chicago, IL
Building a Cloud-backed Generative
Discover the potential of generative AI in creating unique user experiences
Generative AI has emerged as a transformative force, enabling the creation of intelligent content, human-like language generation, and innovative solutions across various industries. In this event, we will comprehensively understand how leading platforms like Amazon Web Services and Microsoft Azure are revolutionizing the deployment and utilization of Generative AI.
Discover how Fine-Tuning and Prompt Engineering techniques can elevate the performance of Generative AI models to new heights. Moreover, gain insights into the security considerations surrounding Generative AI and learn best practices to safeguard your AI applications.
Our AI experts will showcase real industry use cases where enterprises can leverage custom-built Generative AI applications to accelerate their business outcomes, boost conversions, improve time-to-market ratios, and decrease inefficiencies in their daily workflows. Join us as we take a technical walkthrough with AWS Bedrock and Azure AI.
Meet Our Experts
Agenda
4:00 to 4:15
Opening and Introduction
Welcoming guests, introducing the speakers and talking about how businesses can improve their daily operations with generative AI.
4:15 to 4:35
AWS Bedrock - Overview and Demo
Discussing how businesses can train, fine-tune and deploy LLM models with Amazon SageMaker. We will showcase how easy it is to deploy prebuild LLM models for inference. The attendees will learn how they can deploy open-source LLMs like StarCoder or Falcon.
4:35 to 4:55
Azure AI - Overview and Demo
Introducing a code-first experience with prompt flow to streamline AI App development. We will showcase how easy it is to monitor generative AI apps with Azure ML. The attendees will learn how to discover, customize, and develop vision or multi-modality models.
4:55 to 5:15
Generative AI Use Cases
Showcasing real-world use cases and demos. We will discuss various deployment examples that can help businesses improve their daily routine, improve their efficiency, increase their testing ability, and reduce operational costs.
5:15 to 5:30
Closing Keynote and Networking
After concluding the event, the attendees can network with the speakers and discuss their ideas.
Agenda
4:00 to 4:15
Opening and Introduction
Welcoming guests, introducing the speakers and talking about how businesses can improve their daily operations with generative AI.
4:15 to 4:35
AWS Bedrock - Overview and Demo
Discussing how businesses can train, fine-tune and deploy LLM models with Amazon SageMaker. We will showcase how easy it is to deploy prebuild LLM models for inference. The attendees will learn how they can deploy open-source LLMs like StarCoder or Falcon.
4:35 to 4:55
Azure AI - Overview and Demo
Introducing a code-first experience with prompt flow to streamline AI App development. We will showcase how easy it is to monitor generative AI apps with Azure ML. The attendees will learn how to discover, customize, and develop vision or multi-modality models.
4:55 to 5:15
Generative AI Use Cases
Showcasing real-world use cases and demos. We will discuss various deployment examples that can help businesses improve their daily routine, improve their efficiency, increase their testing ability, and reduce operational costs.
5:15 to 5:30
Closing Keynote and Networking
After concluding the event, the attendees can network with the speakers and discuss their ideas.
Agenda
- Welcoming Guests and introducing speakers
- Discussing why businesses need generative AI to improve their daily operations
- Training, fine-tuning, and deploying LLM models with Amazon SageMaker
- Showcasing how easy it is to deploy prebuild LLM models for inference
- Deploying open-source LLMs like StarCoder of Falcon
- Introducing a code-first experience with prompt flow to streamline development
- Showcasing how easy it is to monitor generative AI apps with Azure ML
- Discovering, customizing, and developing vision or multi-modality models
- Showcasing real-world use cases and demos
- Discussing various deployment examples that have proven results
- Giving attendees a chance to network with the speakers and discuss their ideas
Speakers
Mustafa Pesh
Digital Transformation Principal At Royal Cyber Inc.
Shefali Gupta
Data Engineer At Royal Cyber Inc.
Alex Jeyasingh
Data Engineer At Royal Cyber Inc.
Sarmad Afzal
Data Scientist At Royal Cyber Inc.
1871 The Merchandise Mart Plaza, Floor 12, Suite 1212, Chicago, IL