Event 1

Summary Report: “FCAJ Community Day”

Event Objectives

  • Learn about Generative AI and how to build effective AI applications
  • Explore AWS services for data analysis and workflow automation
  • Understand the role of Amazon CloudFront in improving performance, security, and cost efficiency
  • Learn about LLMs, Multi-Agent Systems, and their practical deployment challenges

Speakers

  • Vy Lam – Senior Business Systems Analyst at VPBank
  • Thao Nguyen – GenAI Engineer at VIB
  • Mai Nguyen – GenAI Engineer at VIB
  • Uyen Le – GenAI Engineer at VIB
  • Anh Pham – Cloud Consultant at G-AsiaPacific Vietnam
  • Thinh Nguyen – DevOps Engineer at FCAJ
  • Tinh Truong – Platform Engineer at GoTymeX
  • Duc Dao – Solutions Architect at Cloud Kinetics

Key Highlights

Context Is Everything: Making AI Actually Work for You

  • Understand why AI performs poorly without sufficient context
  • Learn about the evolution from prompts to memory
  • Explore the Second AI Brain concept
  • Learn how students can start building AI-powered products

Friendly AI Assistant with Amazon Quick

  • Quick Chat Agent: Explore data and analyze insights
  • Quick Flows: Create workflows using natural language without coding
  • Quick Spaces: Build collaborative spaces for knowledge sharing
  • Quick Sight: Create dashboards and reports from raw data

From Edge to Origin: CloudFront as Your Foundation

  • Use Amazon CloudFront for different types of workloads
  • Optimize content delivery costs
  • Improve security capabilities
  • Enhance system reliability and performance

36 hrs with LotusHacks – Building UTMorpho from Idea to Reality

  • Motivation for joining LotusHacks
  • Idea generation and product development process
  • Problem definition and product direction
  • Product development within 36 hours
  • Challenges, failures, and lessons learned

Non-Determinism of “Deterministic” LLM Settings

  • Understand how LLMs select the next token
  • Examine the assumption that Temperature = 0 always guarantees deterministic results
  • Identify inference factors that may cause different outputs
  • Learn about practical impacts and mitigation strategies

Enterprise-Grade Multi-Agent System

  • Understand the mismatch between startup data and banking data
  • Learn when to use and when not to use a Single Agent
  • Explore the Multi-Agent System paradigm
  • Review the Virtual Credit Committee blueprint
  • Understand Guardrails, Compliance, and implementation roadmaps
  • Evaluate Operational ROI

Key Takeaways

Generative AI Knowledge

  • Understand the importance of context in improving AI output quality
  • Distinguish between prompts, memory, and other context-providing methods
  • Recognize non-deterministic behavior during LLM inference

AWS Architecture and Services

  • Understand how Amazon CloudFront improves performance, security, and reliability
  • Learn how Amazon Quick supports data analysis and workflow automation
  • Recognize guardrail and compliance requirements for enterprise AI systems

Product Development

  • Understand how to turn an idea into a product within a limited timeframe
  • Recognize the importance of defining the right problem and product scope
  • Learn from challenges, failures, and turning points during development

Applying to Work

  • Provide sufficient context when using AI tools during development
  • Use AI to support document analysis, data processing, and suitable workflow automation
  • Consider performance, security, and cost when designing content delivery with CloudFront
  • Include guardrails and compliance requirements in AI features
  • Evaluate LLM output stability before using it in business processes

Event Experience

Attending FCAJ Community Day gave me the opportunity to explore new topics in cloud computing and AI. The sessions combined fundamental knowledge, practical examples, and implementation experience, helping me better understand how AI can be applied to real-world problems.

The event also provided opportunities to interact with speakers and other attendees. These discussions gave me additional perspectives on product development, scalable AI system design, and the requirements that should be considered when deploying solutions in enterprise environments.

FCAJ Community Day expanded my knowledge of Generative AI, AWS, and Multi-Agent Systems while improving my analytical thinking when evaluating technology solutions.